repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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GNN-Benchmark | GNN-Benchmark-main/code/Functional/sampler/neighbor-sampler-dgl-products.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# device = torch.device('cuda' if torch.cuda.is_a... | 1,732 | 32.326923 | 122 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/sampler/saint-sampler-dgl-ppi.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_ppi
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# device = torch.device('cuda' if torch.cuda.is_available() else 'c... | 1,647 | 32.632653 | 122 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/sampler/neighbor-sampler-pyg-products.py | import os
import torch
from ogb.nodeproppred import PygNodePropPredDataset
from torch_geometric.utils import to_undirected, add_self_loops
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
from torch_sparse import SparseTensor
import torch_geometric
# device = torch.device('cu... | 1,651 | 29.592593 | 122 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/sampler/load_graph.py | import dgl
import torch as th
def load_reddit():
from dgl.data import RedditDataset
# load reddit data
data = RedditDataset()
g = data[0]
# g.ndata['features'] = g.ndata['feat']
# g.ndata['labels'] = g.ndata['label']
return g, data.num_classes
def load_ppi():
from create_dgl import P... | 3,105 | 29.15534 | 101 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/sampler/neighbor-sampler-dgl-ppi.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_ppi
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# device = torch.device('cuda' if torch.cuda.is_available() else 'c... | 1,595 | 31.571429 | 122 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SGConv-pyg-products.py | import os
import torch
from ogb.nodeproppred import PygNodePropPredDataset
from torch_geometric.utils import to_undirected, add_self_loops
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
from torch_sparse import SparseTensor
import torch_geometric
# log_name = 'pyg-ogbn-prod... | 1,703 | 28.894737 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCN2Conv-pyg-reddit.py | import os
import torch
from torch_geometric.datasets import Reddit
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
from torch_sparse import SparseTensor
import time
from torch_geometric.utils import add_self_loops
import torch_geometric
# log_name = 'pyg-reddit'
# tracker = EmissionsTra... | 1,690 | 28.666667 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCNConv-pyg-yelp.py | import os
import torch
from torch_geometric.datasets import Yelp
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
from torch_sparse import SparseTensor
from torch_geometric.utils import add_self_loops
import torch_geometric
# log_name = 'pyg-yelp'
# tracker = EmissionsTracker... | 1,649 | 28.464286 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/ChebConv-pyg-yelp.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from torch_geometric.datasets import Yelp
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
imp... | 1,928 | 30.112903 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SGConv-dgl-ppi.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_ppi
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'cluster-ppi'
# tracker = EmissionsTracker(measure_power_... | 1,520 | 26.654545 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SAGEConv-pyg-reddit.py | import os
import torch
import torch.nn.functional as F
from torch.nn import ModuleList
# from tqdm import tqdm
from torch_geometric.datasets import Reddit
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from code... | 2,171 | 31.41791 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATv2Conv-pyg-reddit.py | import os
import torch
import torch.nn.functional as F
from torch.nn import ModuleList
# from tqdm import tqdm
from torch_geometric.datasets import Reddit
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv, GCNConv
from sklearn.metrics import f1_score
... | 2,026 | 31.174603 | 140 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/TAGConv-pyg-ppi.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from create_pyg import PPI
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger... | 1,668 | 26.360656 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/ChebConv-pyg-arxiv.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv, GCNConv, GATConv
from sklearn.metrics import f1_score
from... | 2,160 | 31.253731 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SAGEConv-dgl-ppi.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_ppi
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-ppi'
# tracker = EmissionsTracker(measure_power_se... | 1,800 | 30.051724 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/TAGConv-dgl-flickr.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_flickr
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-flickr'
# tracker = EmissionsTracker(measure_powe... | 1,432 | 26.037736 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATConv-dgl-arxiv.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
# from experiment_impact_tracker.compute_tracker import ImpactT... | 1,785 | 29.793103 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/ChebConv-dgl-yelp.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_yelp
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-yelp'
# tracker = EmissionsTracker(measure_power_se... | 1,459 | 25.545455 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SAGEConv-dgl-flickr.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_flickr
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-flickr'
# tracker = EmissionsTracker(measure_powe... | 1,806 | 30.155172 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCN2Conv-dgl-flickr.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_flickr
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'cluster-flickr'
# tracker = EmissionsTracker(measure... | 1,617 | 27.892857 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATv2Conv-dgl-flickr.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_flickr
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-flickr'
# tracker = EmissionsTracker(measure_pow... | 1,606 | 27.696429 | 125 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATv2Conv-dgl-arxiv.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
# from experiment_impact_tracker.compute_tracker import ImpactT... | 1,808 | 30.189655 | 125 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/create_dgl.py | import dgl
from dgl.data import DGLDataset
import torch
import json
import numpy as np
import scipy.sparse
import os
class PPIDataset(DGLDataset):
def __init__(self):
super().__init__(name='ppi')
def process(self):
path = os.path.abspath(os.path.join(os.getcwd(), ".."))
adj_full = scip... | 4,636 | 29.506579 | 89 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SAGEConv-dgl-arxiv.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
# from experiment_impact_tracker.compute_tracker import ImpactT... | 2,009 | 32.5 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATv2Conv-pyg-arxiv.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv, GCNConv, GATConv
from sklearn.metrics import f1_score
from... | 2,130 | 32.296875 | 140 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATv2Conv-dgl-products.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-ogbn-products'
# tracker = Emis... | 1,702 | 28.362069 | 125 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCNConv-pyg-reddit.py | import os
import torch
from torch_geometric.datasets import Reddit
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
from torch_sparse import SparseTensor
import time
from torch_geometric.utils import add_self_loops
import torch_geometric
# log_name = 'pyg-reddit'
# tracker = EmissionsTra... | 1,658 | 28.105263 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SGConv-dgl-reddit.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_reddit
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-reddit'
# tracker = EmissionsTracker(measure_pow... | 1,523 | 26.214286 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATConv-dgl-ppi.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_ppi
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-ppi'
# tracker = EmissionsTracker(measure_power_secs... | 1,573 | 28.148148 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/TAGConv-pyg-products.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from torch_geometric.u... | 1,804 | 28.112903 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/TAGConv-pyg-reddit.py | import os
import torch
import torch.nn.functional as F
from torch.nn import ModuleList
# from tqdm import tqdm
from torch_geometric.datasets import Reddit
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from code... | 1,770 | 27.564516 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATv2Conv-pyg-ppi.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from create_pyg import PPI
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv, GCNConv
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from ener... | 1,931 | 30.16129 | 140 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SGConv-dgl-flickr.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_flickr
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'cluster-flickr'
# tracker = EmissionsTracker(measure... | 1,529 | 26.321429 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/TAGConv-pyg-flickr.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from torch_geometric.datasets import Flickr
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
f... | 1,692 | 27.694915 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATConv-dgl-products.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-ogbn-products'
# tracker = Emis... | 1,679 | 27.965517 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCNConv-dgl-reddit.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_reddit
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-reddit'
# tracker = EmissionsTracker(measure_pow... | 1,542 | 26.553571 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SGConv-pyg-arxiv.py | import os
import torch
from ogb.nodeproppred import PygNodePropPredDataset
from torch_geometric.utils import to_undirected, add_self_loops
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
from torch_sparse import SparseTensor
import torch_geometric
# log_name = 'pyg-arxiv'
# ... | 1,757 | 29.310345 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATConv-pyg-flickr.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from torch_geometric.datasets import Flickr
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv, GCNConv
from sklearn.metrics import f1_score
from codecarbon import Emissions... | 1,930 | 30.145161 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SAGEConv-pyg-arxiv.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from torch_geometric.u... | 2,260 | 31.768116 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCN2Conv-pyg-yelp.py | import os
import torch
from torch_geometric.datasets import Yelp
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
from torch_sparse import SparseTensor
from torch_geometric.utils import add_self_loops
import torch_geometric
# log_name = 'pyg-yelp'
# tracker = EmissionsTracker... | 1,681 | 29.035714 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATv2Conv-pyg-flickr.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from torch_geometric.datasets import Flickr
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv, GCNConv
from sklearn.metrics import f1_score
from codecarbon import Emissions... | 1,953 | 30.516129 | 140 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SGConv-dgl-arxiv.py | import os
import torch
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
# from experiment_impact_tracker.compute_tracker import ImpactTracker
import time
# log_name = 'dgl-arxiv'
# tracke... | 1,674 | 28.385965 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/ChebConv-dgl-arxiv.py | import os
import torch
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
# from experiment_impact_tracker.compute_tracker import ImpactTracker
import time
# log_name = 'dgl-arxiv'
# tracke... | 1,616 | 27.875 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATConv-dgl-reddit.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_reddit
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-reddit'
# tracker = EmissionsTracker(measure_pow... | 1,581 | 27.25 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SAGEConv-pyg-products.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from torch_geometric.u... | 2,205 | 31.925373 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCNConv-pyg-products.py | import os
import torch
from ogb.nodeproppred import PygNodePropPredDataset
from torch_geometric.utils import to_undirected, add_self_loops
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
from torch_sparse import SparseTensor
import torch_geometric
# log_name = 'pyg-ogbn-prod... | 1,724 | 29.263158 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCNConv-dgl-arxiv.py | import os
import torch
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
# from experiment_impact_tracker.compute_tracker import ImpactTracker
import time
# log_name = 'dgl-arxiv'
# tracke... | 1,693 | 28.719298 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SGConv-pyg-ppi.py | import os
import torch
from create_pyg import PPI
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
from torch_sparse import SparseTensor
from torch_geometric.utils import add_self_loops
import torch_geometric
# log_name = 'pyg-ppi'
# tracker = EmissionsTracker(measure_power_s... | 1,613 | 26.355932 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/TAGConv-dgl-yelp.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_yelp
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-yelp'
# tracker = EmissionsTracker(measure_power_s... | 1,425 | 25.407407 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/TAGConv-dgl-reddit.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_reddit
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-reddit'
# tracker = EmissionsTracker(measure_pow... | 1,432 | 25.054545 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATConv-pyg-ppi.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from create_pyg import PPI
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv, GCNConv
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from ener... | 1,908 | 29.790323 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATConv-pyg-arxiv.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv, GCNConv, GATConv
from sklearn.metrics import f1_score
from... | 2,107 | 31.9375 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCNConv-pyg-ppi.py | import os
import torch
from create_pyg import PPI
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
from torch_sparse import SparseTensor
from torch_geometric.utils import add_self_loops
import torch_geometric
# log_name = 'pyg-ppi'
# tracker = EmissionsTracker(measure_power_s... | 1,634 | 26.711864 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/TAGConv-pyg-yelp.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from torch_geometric.datasets import Yelp
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
fro... | 1,684 | 27.559322 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SAGEConv-pyg-ppi.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from create_pyg import PPI
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger... | 2,069 | 30.363636 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/TAGConv-dgl-ppi.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_ppi
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-ppi'
# tracker = EmissionsTracker(measure_power_se... | 1,426 | 25.924528 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SAGEConv-dgl-reddit.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_reddit
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-reddit'
# tracker = EmissionsTracker(measure_pow... | 1,806 | 29.116667 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCN2Conv-pyg-arxiv.py | import os
import torch
from ogb.nodeproppred import PygNodePropPredDataset
from torch_geometric.utils import to_undirected, add_self_loops
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
from torch_sparse import SparseTensor
import torch_geometric
# log_name = 'pyg-arxiv'
# ... | 1,810 | 30.224138 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SAGEConv-pyg-yelp.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from torch_geometric.datasets import Yelp
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
fro... | 2,085 | 31.59375 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/ChebConv-pyg-reddit.py | import os
import torch
import torch.nn.functional as F
from torch.nn import ModuleList
# from tqdm import tqdm
from torch_geometric.datasets import Reddit
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv, GCNConv
from sklearn.metrics import f1_score
... | 2,055 | 30.630769 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/ChebConv-pyg-ppi.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from create_pyg import PPI
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv, GCNConv
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from ener... | 1,960 | 29.640625 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCNConv-dgl-ppi.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_ppi
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'cluster-ppi'
# tracker = EmissionsTracker(measure_power_... | 1,539 | 27 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATv2Conv-dgl-yelp.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_yelp
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-yelp'
# tracker = EmissionsTracker(measure_power_se... | 1,598 | 27.553571 | 125 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/ChebConv-pyg-products.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv, GCNConv
from sklearn.metrics import f1_score
from torch_ge... | 2,095 | 31.75 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SAGEConv-dgl-products.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-ogbn-products'
# tracker = Emis... | 1,903 | 30.213115 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATConv-pyg-yelp.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from torch_geometric.datasets import Yelp
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
imp... | 1,877 | 29.786885 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/ChebConv-dgl-ppi.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_ppi
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'cluster-ppi'
# tracker = EmissionsTracker(measure_power_... | 1,462 | 26.092593 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/ChebConv-pyg-flickr.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from torch_geometric.datasets import Flickr
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv, GCNConv
from sklearn.metrics import f1_score
from codecarbon import Emissions... | 1,983 | 29.523077 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/TAGConv-pyg-arxiv.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from torch_geometric.u... | 1,859 | 28.0625 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCN2Conv-dgl-reddit.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_reddit
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-reddit'
# tracker = EmissionsTracker(measure_pow... | 1,611 | 27.785714 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATConv-dgl-yelp.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_yelp
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-yelp'
# tracker = EmissionsTracker(measure_power_se... | 1,574 | 27.636364 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/TAGConv-dgl-arxiv.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
# from experiment_impact_tracker.compute_tracker import ImpactT... | 1,635 | 28.745455 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCNConv-dgl-flickr.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_flickr
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'cluster-flickr'
# tracker = EmissionsTracker(measure... | 1,548 | 26.660714 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCNConv-dgl-products.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dg-ogbn-products'
# tracker = Emiss... | 1,639 | 27.275862 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATConv-pyg-reddit.py | import os
import torch
import torch.nn.functional as F
from torch.nn import ModuleList
# from tqdm import tqdm
from torch_geometric.datasets import Reddit
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv, GCNConv
from sklearn.metrics import f1_score
... | 2,003 | 30.809524 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCN2Conv-dgl-yelp.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_yelp
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-yelp'
# tracker = EmissionsTracker(measure_power_se... | 1,605 | 27.678571 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCN2Conv-dgl-ppi.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_ppi
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'cluster-ppi'
# tracker = EmissionsTracker(measure_power_... | 1,608 | 28.254545 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SGConv-dgl-yelp.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_yelp
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-yelp'
# tracker = EmissionsTracker(measure_power_se... | 1,517 | 26.107143 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCNConv-pyg-flickr.py | import os
import torch
from torch_geometric.datasets import Flickr
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
from torch_sparse import SparseTensor
from torch_geometric.utils import add_self_loops
import torch_geometric
# log_name = 'pyg-flickr'
# tracker = EmissionsTra... | 1,658 | 28.105263 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SAGEConv-pyg-flickr.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from torch_geometric.datasets import Flickr
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
f... | 2,093 | 31.71875 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATConv-pyg-products.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv, GCNConv
from sklearn.metrics import f1_score
from torch_ge... | 2,043 | 31.967742 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SGConv-pyg-reddit.py | import os
import torch
from torch_geometric.datasets import Reddit
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
from torch_sparse import SparseTensor
import time
from torch_geometric.utils import add_self_loops
import torch_geometric
# log_name = 'pyg-reddit'
# tracker = EmissionsTra... | 1,637 | 27.736842 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATv2Conv-pyg-products.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from torch_geometric.nn import SAGEConv, GCNConv
from sklearn.metrics import f1_score
from torch_ge... | 2,066 | 32.33871 | 140 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCNConv-pyg-arxiv.py | import os
import torch
from ogb.nodeproppred import PygNodePropPredDataset
from torch_geometric.utils import to_undirected, add_self_loops
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
from torch_sparse import SparseTensor
import torch_geometric
# log_name = 'pyg-arxiv'
# ... | 1,778 | 29.672414 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATv2Conv-dgl-reddit.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_reddit
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-reddit'
# tracker = EmissionsTracker(measure_pow... | 1,604 | 27.660714 | 125 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/TAGConv-dgl-products.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-ogbn-products'
# tracker = Emis... | 1,529 | 26.321429 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCN2Conv-pyg-products.py | import os
import torch
from ogb.nodeproppred import PygNodePropPredDataset
from torch_geometric.utils import to_undirected, add_self_loops
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
from torch_sparse import SparseTensor
import torch_geometric
# log_name = 'pyg-ogbn-prod... | 1,756 | 29.824561 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCNConv-dgl-yelp.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_yelp
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-yelp'
# tracker = EmissionsTracker(measure_power_se... | 1,536 | 26.446429 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/create_pyg.py | import json
import os
import os.path as osp
from typing import Callable, List, Optional
import numpy as np
import scipy.sparse as sp
import torch
from torch_geometric.data import Data, InMemoryDataset, download_url
class PPI(InMemoryDataset):
def __init__(self, root: str, transform: Optional[Callable] = None,
... | 2,745 | 35.131579 | 79 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/ChebConv-dgl-products.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dg-ogbn-products'
# tracker = Emiss... | 1,562 | 26.421053 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/ChebConv-dgl-flickr.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_flickr
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'cluster-flickr'
# tracker = EmissionsTracker(measure... | 1,471 | 25.763636 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SGConv-dgl-products.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dg-ogbn-products'
# tracker = Emiss... | 1,620 | 26.948276 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCN2Conv-pyg-ppi.py | import os
import torch
from create_pyg import PPI
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
from torch_sparse import SparseTensor
from torch_geometric.utils import add_self_loops
import torch_geometric
# log_name = 'pyg-ppi'
# tracker = EmissionsTracker(measure_power_s... | 1,666 | 27.254237 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SGConv-pyg-flickr.py | import os
import torch
from torch_geometric.datasets import Flickr
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
from torch_sparse import SparseTensor
from torch_geometric.utils import add_self_loops
import torch_geometric
# log_name = 'pyg-flickr'
# tracker = EmissionsTra... | 1,637 | 27.736842 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/ChebConv-dgl-reddit.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_reddit
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-reddit'
# tracker = EmissionsTracker(measure_pow... | 1,472 | 25.781818 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATConv-dgl-flickr.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_flickr
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-flickr'
# tracker = EmissionsTracker(measure_pow... | 1,583 | 27.285714 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCN2Conv-pyg-flickr.py | import os
import torch
from torch_geometric.datasets import Flickr
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
from torch_sparse import SparseTensor
from torch_geometric.utils import add_self_loops
import torch_geometric
# log_name = 'pyg-flickr'
# tracker = EmissionsTra... | 1,690 | 28.666667 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SAGEConv-dgl-yelp.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from sklearn.metrics import f1_score
from load_graph import load_yelp
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
# log_name = 'dgl-yelp'
# tracker = EmissionsTracker(measure_power_s... | 1,799 | 29.508475 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/SGConv-pyg-yelp.py | import os
import torch
from torch_geometric.datasets import Yelp
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
import time
from torch_sparse import SparseTensor
from torch_geometric.utils import add_self_loops
import torch_geometric
# log_name = 'pyg-yelp'
# tracker = EmissionsTracker... | 1,628 | 28.089286 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GATv2Conv-pyg-yelp.py | import os
import torch
import torch.nn.functional as F
# from tqdm import tqdm
from torch_geometric.datasets import Yelp
from torch_geometric.loader import ClusterData, ClusterLoader, NeighborSampler
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
imp... | 1,900 | 30.163934 | 140 | py |
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