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
value |
|---|---|---|---|---|---|---|
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCN2Conv-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... | 1,762 | 29.929825 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/GCN2Conv-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... | 1,708 | 28.465517 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/convolutional/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/convolutional/GATv2Conv-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... | 1,596 | 28.574074 | 125 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/loader/loader-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... | 1,087 | 31 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/loader/loader-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... | 1,020 | 29.939394 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/loader/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/loader/loader-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... | 880 | 24.171429 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/loader/loader-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... | 1,015 | 28.028571 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/loader/loader-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... | 878 | 26.46875 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/loader/loader-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... | 1,125 | 31.171429 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/loader/loader-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... | 872 | 25.454545 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/loader/loader-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... | 1,012 | 29.69697 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/loader/loader-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... | 1,021 | 29.058824 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/loader/loader-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... | 997 | 26.722222 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/loader/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/loader/loader-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'
# ... | 1,145 | 31.742857 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/Functional/loader/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/loader/loader-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... | 870 | 26.21875 | 124 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/dgl_graphsaint-cpu-flickr.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from en... | 4,855 | 33.685714 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/pyg_graphsaint-cpu-arxiv.py | import os
import torch
import torch.nn.functional as F
from torch_geometric.utils import to_undirected
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
from torch_geometric.loader import GraphSAINTRandomWalkSampler, NeighborSampler
from torch_geometric.nn import SAGEConv
from torch_geometric.utils import ... | 3,971 | 32.661017 | 137 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/dgl_graphsaint-gpu-flickr.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from en... | 4,930 | 33.482517 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/pyg_graphsaint-gpu-products.py | import os
import torch
import torch.nn.functional as F
from torch_geometric.utils import to_undirected
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
from torch_geometric.loader import GraphSAINTRandomWalkSampler, NeighborSampler
from torch_geometric.nn import SAGEConv
from torch_geometric.utils import ... | 4,123 | 32.258065 | 139 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/pyg_graphsaint-cpu-reddit.py | import os
import torch
import torch.nn.functional as F
from torch_geometric.datasets import Reddit
from torch_geometric.loader import GraphSAINTRandomWalkSampler, NeighborSampler
from torch_geometric.nn import SAGEConv
from torch_geometric.utils import degree
from sklearn.metrics import f1_score
from codecarbon import ... | 3,532 | 32.330189 | 137 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/pyg_graphsaint-gpu-flickr.py | import os
import torch
import torch.nn.functional as F
from torch_geometric.datasets import Flickr
from torch_geometric.loader import GraphSAINTRandomWalkSampler, NeighborSampler
from torch_geometric.nn import SAGEConv
from torch_geometric.utils import degree
from sklearn.metrics import f1_score
from codecarbon import ... | 3,678 | 31.557522 | 139 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/dgl_graphsaint-gpu-yelp.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
# import time
from ogb.nodeproppred import DglNodePropPredDataset
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsT... | 5,020 | 33.156463 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/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/GraphSAINT/dgl_graphsaint-gpu-arxiv.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
# import time
from ogb.nodeproppred import DglNodePropPredDataset
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsT... | 5,185 | 34.040541 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/pyg_graphsaint-gpu-reddit.py | import os
import torch
import torch.nn.functional as F
from torch_geometric.datasets import Reddit
from torch_geometric.loader import GraphSAINTRandomWalkSampler, NeighborSampler
from torch_geometric.nn import SAGEConv
from torch_geometric.utils import degree
from sklearn.metrics import f1_score
from codecarbon import ... | 3,666 | 32.036036 | 137 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/dgl_graphsaint-cpu-arxiv.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
# import time
from ogb.nodeproppred import DglNodePropPredDataset
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsT... | 4,992 | 34.161972 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/pyg_graphsaint-gpu-ppi.py | import os
import torch
import torch.nn.functional as F
from create_pyg import PPI
from torch_geometric.loader import GraphSAINTRandomWalkSampler, NeighborSampler
from torch_geometric.nn import SAGEConv
from torch_geometric.utils import degree
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
... | 3,813 | 32.165217 | 137 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/pyg_graphsaint-gpu-yelp.py | import os
import torch
import torch.nn.functional as F
from torch_geometric.datasets import Yelp
from torch_geometric.loader import GraphSAINTRandomWalkSampler, NeighborSampler
from torch_geometric.nn import SAGEConv
from torch_geometric.utils import degree
from sklearn.metrics import f1_score
from codecarbon import Em... | 3,832 | 32.330435 | 137 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/dgl_graphsaint-cpu-ppi.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
# import time
from ogb.nodeproppred import DglNodePropPredDataset
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsT... | 4,853 | 33.425532 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/dgl_graphsaint-gpu-ppi.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
# import time
from ogb.nodeproppred import DglNodePropPredDataset
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsT... | 5,017 | 33.136054 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/pyg_graphsaint-cpu-yelp.py | import os
import torch
import torch.nn.functional as F
from torch_geometric.datasets import Yelp
from torch_geometric.loader import GraphSAINTRandomWalkSampler, NeighborSampler
from torch_geometric.nn import SAGEConv
from torch_geometric.utils import degree
from sklearn.metrics import f1_score
from codecarbon import Em... | 3,699 | 32.636364 | 137 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/dgl_graphsaint-cpu-yelp.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
# import time
from ogb.nodeproppred import DglNodePropPredDataset
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsT... | 4,938 | 33.062069 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/pyg_graphsaint-gpu-arxiv.py | import os
import torch
import torch.nn.functional as F
from torch_geometric.utils import to_undirected
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
from torch_geometric.loader import GraphSAINTRandomWalkSampler, NeighborSampler
from torch_geometric.nn import SAGEConv
from torch_geometric.utils import ... | 4,102 | 32.08871 | 137 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/dgl_graphsaint-gpu-reddit.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from en... | 4,930 | 33.482517 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/dgl_graphsaint-cpu-reddit.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from ogb.nodeproppred import DglNodePropPredDataset
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from en... | 4,855 | 33.685714 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/pyg_graphsaint-cpu-ppi.py | import os
import torch
import torch.nn.functional as F
from create_pyg import PPI
from torch_geometric.loader import GraphSAINTRandomWalkSampler, NeighborSampler
from torch_geometric.nn import SAGEConv
from torch_geometric.utils import degree
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
... | 3,678 | 32.445455 | 137 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/dgl_graphsaint-gpu-products.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
# import time
from ogb.nodeproppred import DglNodePropPredDataset
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsT... | 5,086 | 33.842466 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/pyg_graphsaint-cpu-products.py | import os
import torch
import torch.nn.functional as F
from torch_geometric.utils import to_undirected
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
from torch_geometric.loader import GraphSAINTRandomWalkSampler, NeighborSampler
from torch_geometric.nn import SAGEConv
from torch_geometric.utils import ... | 3,988 | 32.805085 | 139 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/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/GraphSAINT/dgl_graphsaint-cpu-products.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
# import time
from ogb.nodeproppred import DglNodePropPredDataset
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsT... | 5,011 | 34.048951 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAINT/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/GraphSAINT/pyg_graphsaint-cpu-flickr.py | import os
import torch
import torch.nn.functional as F
from torch_geometric.datasets import Flickr
from torch_geometric.loader import GraphSAINTRandomWalkSampler, NeighborSampler
from torch_geometric.nn import SAGEConv
from torch_geometric.utils import degree
from sklearn.metrics import f1_score
from codecarbon import ... | 3,533 | 32.339623 | 139 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/dgl_cluster_gcn-cpu-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
class ClusterGCN(nn.Module):
def __init__(self, in_feats, n_hidden, n_class... | 4,654 | 32.731884 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/dgl_cluster_gcn-gpu-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
class ClusterGCN(nn.Module):
def __init__(self, in_feats, n_hidden, n_classe... | 4,892 | 32.513699 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/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/ClusterGCN/pyg_cluster_gcn-gpu-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... | 3,597 | 32.626168 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/pyg_cluster_gcn-cpu-reddit.py | import os
import torch
import torch.nn.functional as F
from torch.nn import ModuleList
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 codecarbon import EmissionsT... | 3,339 | 32.4 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/pyg_cluster_gcn-gpu-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... | 3,985 | 32.779661 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/dgl_cluster_gcn-cpu-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
class ClusterGCN(nn.Module):
def __init__(self, in_feats,... | 4,763 | 32.787234 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/dgl_cluster_gcn-cpu-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
class ClusterGCN(nn.Module):
def __init__(self, in_feats, n_hidden, n_classes... | 4,742 | 32.401408 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/pyg_cluster_gcn-gpu-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... | 3,407 | 33.08 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/dgl_cluster_gcn-cpu-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
class ClusterGCN(nn.Module):
def __init__(self, in_feats, n_hidden, n_classes)... | 4,737 | 32.602837 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/pyg_cluster_gcn-cpu-arxiv.py | import os
import torch
import torch.nn.functional as F
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.utils import to_undirecte... | 3,707 | 32.709091 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/pyg_cluster_gcn-cpu-yelp.py | import os
import torch
import torch.nn.functional as F
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
from energy_logger import e... | 3,527 | 32.6 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/dgl_cluster_gcn-gpu-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
class ClusterGCN(nn.Module):
def __init__(self, in_feats,... | 4,942 | 33.566434 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/dgl_cluster_gcn-cpu-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
class ClusterGCN(nn.Module):
def __init__(self, in_feats, ... | 4,796 | 33.510791 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/dgl_cluster_gcn-gpu-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
class ClusterGCN(nn.Module):
def __init__(self, in_feats, n_hidden, n_classes)... | 4,892 | 33.216783 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/pyg_cluster_gcn-gpu-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... | 3,776 | 33.027027 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/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/ClusterGCN/pyg_cluster_gcn-cpu-flickr.py | import os
import torch
import torch.nn.functional as F
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
from energy_logger import... | 3,290 | 32.581633 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/dgl_cluster_gcn-cpu-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
class ClusterGCN(nn.Module):
def __init__(self, in_feats, n_hidden, n_class... | 4,653 | 32.970803 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/dgl_cluster_gcn-gpu-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
class ClusterGCN(nn.Module):
def __init__(self, in_feats, n_hidden, n_class... | 4,796 | 33.264286 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/pyg_cluster_gcn-cpu-products.py | import os
import torch
import torch.nn.functional as F
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.utils import to_undirecte... | 3,721 | 32.836364 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/pyg_cluster_gcn-gpu-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... | 3,359 | 32.939394 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/pyg_cluster_gcn-gpu-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... | 3,568 | 32.990476 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/dgl_cluster_gcn-gpu-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
class ClusterGCN(nn.Module):
def __init__(self, in_feats, n_hidden, n_clas... | 4,801 | 32.816901 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/pyg_cluster_gcn-cpu-ppi.py | import os
import torch
import torch.nn.functional as F
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 import energy_logger
... | 3,499 | 32.653846 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/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... | 2,857 | 28.163265 | 101 | py |
GNN-Benchmark | GNN-Benchmark-main/code/ClusterGCN/dgl_cluster_gcn-gpu-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
class ClusterGCN(nn.Module):
def __init__(self, in_feats,... | 4,906 | 33.314685 | 133 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/main_pyg_arxiv_sage.py | import os
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch_sparse import SparseTensor
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from torch_geometric.utils import to_undirected
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
f... | 4,546 | 32.189781 | 142 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-dgl-uvagpu-ppi.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
class GraphSAGE(n... | 5,213 | 36.510791 | 136 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-dgl-uvagpu-products.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
class GraphSAGE(n... | 5,164 | 36.977941 | 136 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-pyg-cpu-products.py | import os
import torch
import torch.nn.functional as F
from torch_geometric.loader import NeighborSampler
from torch_geometric.nn import SAGEConv
from codecarbon import EmissionsTracker
from sklearn.metrics import f1_score
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
from codecarbon import EmissionsTr... | 4,109 | 31.109375 | 132 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-dgl-gpu-flickr.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
class GraphSAGE(n... | 5,151 | 36.064748 | 136 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/main_pyg_reddit_sage.py | import os
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch_sparse import SparseTensor
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from torch_geometric.datasets import Reddit, Reddit2, Flickr, Yelp
from codecarbon import EmissionsTracker
from ... | 4,531 | 33.333333 | 142 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/main_pyg_yelp_sage.py | import os
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch_sparse import SparseTensor
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from torch_geometric.datasets import Reddit, Reddit2, Flickr, Yelp
from codecarbon import EmissionsTracker
from ... | 4,569 | 33.104478 | 142 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-pyg-cpugpu-products.py | import os
import torch
import torch.nn.functional as F
# from torch_geometric.datasets import Reddit, Flickr, Yelp
from torch_geometric.loader import NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
# from create_... | 4,170 | 31.84252 | 132 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/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/GraphSAGE/ns-sage-pyg-cpugpu-ppi.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
# from torch_geometric.datasets import Reddit, Flickr, Yelp
from torch_geometric.loader import NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
# from ogb.nodeproppred import PygNodePropPredDataset, ... | 3,898 | 31.491667 | 132 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-dgl-cpu-flickr.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
class GraphSAGE(n... | 5,227 | 35.816901 | 136 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/main_dgl_product_sage_nn.py | import os
import argparse
import dgl
import torch
import torch.nn as nn
import torch.nn.functional as F
from dgl.nn.pytorch import SAGEConv
from sklearn.metrics import f1_score
from ogb.nodeproppred import DglNodePropPredDataset, Evaluator
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
... | 5,108 | 32.392157 | 142 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-dgl-cpugpu-arxiv.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
class GraphSAGE(n... | 5,242 | 36.992754 | 136 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-dgl-uvagpu-flickr.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
class GraphSAGE(n... | 5,063 | 37.075188 | 136 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/main_dgl_ppi_sage_nn.py | import os
import argparse
import dgl
import torch
import torch.nn as nn
import torch.nn.functional as F
from dgl.nn.pytorch import SAGEConv
from sklearn.metrics import f1_score
from load_graph import load_ppi
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
class GraphSAGE(nn.Module):
... | 5,195 | 32.522581 | 142 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-dgl-gpu-reddit.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
class GraphSAGE(n... | 5,256 | 36.820144 | 136 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-dgl-cpugpu-reddit.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
class GraphSAGE(n... | 5,170 | 36.744526 | 136 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-dgl-cpu-arxiv.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
class GraphSAGE(n... | 5,291 | 36.531915 | 136 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-pyg-cpugpu-yelp.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch_geometric.datasets import Reddit, Flickr, Yelp
from torch_geometric.loader import NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
# from ogb.nodeproppred import PygNodePropPredDataset, Ev... | 3,892 | 30.909836 | 132 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-dgl-cpu-yelp.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
class GraphSAGE(n... | 5,311 | 35.634483 | 136 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-dgl-gpu-yelp.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
class GraphSAGE(n... | 5,234 | 36.12766 | 136 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-dgl-gpu-arxiv.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
class GraphSAGE(n... | 5,224 | 36.056738 | 136 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/main_dgl_flickr_sage_nn.py | import os
import argparse
import dgl
import torch
import torch.nn as nn
import torch.nn.functional as F
from dgl.nn.pytorch import SAGEConv
from sklearn.metrics import f1_score
from load_graph import load_flickr
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
class GraphSAGE(nn.Module)... | 5,183 | 33.105263 | 142 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-dgl-cpugpu-products.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from load_graph import load_reddit, load_ogb, inductive_split, load_ppi, load_flickr, load_yelp
from sklearn.metrics import f1_score
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
class GraphSAGE(n... | 5,202 | 36.978102 | 136 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-pyg-cpugpu-arxiv.py | import os
import torch
import torch.nn.functional as F
# from torch_geometric.datasets import Reddit, Flickr, Yelp
from torch_geometric.loader import NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
from torch_geometric.utils import to_undirected
from ogb.nodeproppred import ... | 4,274 | 31.386364 | 132 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/main_dgl_arxiv_sage_nn.py | import os
import argparse
import dgl
import torch
import torch.nn as nn
import torch.nn.functional as F
from dgl.nn.pytorch import SAGEConv
from sklearn.metrics import f1_score
from ogb.nodeproppred import DglNodePropPredDataset, Evaluator
from codecarbon import EmissionsTracker
from energy_logger import energy_logger
... | 5,078 | 32.86 | 142 | py |
GNN-Benchmark | GNN-Benchmark-main/code/GraphSAGE/ns-sage-pyg-cpugpu-reddit.py | import os
import torch
import torch.nn.functional as F
from torch_geometric.datasets import Reddit, Flickr, Yelp
from torch_geometric.loader import NeighborSampler
from torch_geometric.nn import SAGEConv
from sklearn.metrics import f1_score
# from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
# from create_... | 3,708 | 30.432203 | 132 | py |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.