ablation v4: mpnn_graph_train (2/5 seeds)

Ablation: k=2 seed=123

Ablation: k=2 seed=42

Ablation: k=1 seed=1337

Ablation: k=1 seed=789

Ablation: k=1 seed=456

Ablation: k=1 seed=123

MVP benchmark v2: loss curves

MVP benchmark v2: detailed per-matrix results

MVP benchmark v2: results (5 seeds)

MVP v2: suitesparse eval after seed=1337

Ablation: k=1 seed=42

MVP v2: suitesparse eval after seed=789

Ablation: k=0 seed=1337

MVP v2: suitesparse eval after seed=456

Ablation: k=0 seed=789

MVP v2: suitesparse eval after seed=123

MVP v2: suitesparse eval after seed=42

Ablation: k=0 seed=456

ablation v4: mpnn_graph_train (1/5 seeds)

Ablation: k=0 seed=123

Ablation: k=0 seed=42

MVP v2: synthetic eval after seed=1337

MVP v2: synthetic eval after seed=789

MVP v2: synthetic eval after seed=456

MVP v2: synthetic eval after seed=123

MVP v2: synthetic eval after seed=42

MVP v2: model seed=1337

MVP v2: model seed=789

MVP v2: model seed=456

MVP v2: model seed=123

ablation v4: mpnn_mean_augmented (5/5 seeds)

MVP v2: model seed=42

ablation v4: mpnn_mean_augmented (4/5 seeds)

ablation v4: mpnn_mean_augmented (3/5 seeds)

ablation v4: mpnn_mean_augmented (2/5 seeds)

ablation v4: mpnn_mean_augmented (1/5 seeds)

ablation v4: mpnn_mean_edgenorm (5/5 seeds)

ablation v4: mpnn_mean_edgenorm (4/5 seeds)

ablation v4: mpnn_mean_edgenorm (3/5 seeds)

ablation v4: mpnn_mean_edgenorm (2/5 seeds)

ablation v4: mpnn_mean_edgenorm (1/5 seeds)

ablation v4: mpnn_augmented (5/5 seeds)

ablation v4: mpnn_augmented (4/5 seeds)

ablation v4: mpnn_augmented (3/5 seeds)

ablation v4: mpnn_augmented (2/5 seeds)

ablation v4: mpnn_augmented (1/5 seeds)

ablation v4: mpnn_sym (5/5 seeds)

ablation v4: mpnn_sym (4/5 seeds)

ablation v4: mpnn_sym (3/5 seeds)