Link Prediction On Pcqm Contact

Metrics

Hits@1

Hits@10

Hits@3

MRR

Results

Performance results of various models on this benchmark

					Paper Title
ViT-PS	0.3287	0.9526	0.6694	0.5341	Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
Exphormer	-	-	-	0.3637±0.0020	Exphormer: Sparse Transformers for Graphs
GINE-tuned	-	-	-	0.3509±0.0006	Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
GPS-tuned	-	-	-	0.3498±0.0005	Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
GatedGCN-tuned	-	-	-	0.3495±0.0010	Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
DRew-GCN	-	-	-	0.3444±0.0017	DRew: Dynamically Rewired Message Passing with Delay
GCN-tuned	-	-	-	0.3424±0.0007	Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
Graph Diffuser	0.1369±0.0012	0.8592±0.0007	0.4053±0.0011	0.3388±0.0011	Diffusing Graph Attention
SAN+LapPE	0.1355±0.0017	0.8478±0.0044	0.4004±0.0021	0.3350±0.0003	Long Range Graph Benchmark
SAN+RWSE	0.1312±0.0016	0.8550±0.0024	0.4030±0.0008	0.3341±0.0006	Long Range Graph Benchmark
GPS	-	-	-	0.3337±0.0006	Recipe for a General, Powerful, Scalable Graph Transformer
GatedGCN+RWSE	0.1288±0.0013	0.8517±0.0005	0.3808±0.0006	0.3242±0.0008	Long Range Graph Benchmark
GCN	0.1321±0.0007	0.8256±0.0006	0.3791±0.0004	0.3234±0.0006	Long Range Graph Benchmark
GatedGCN	0.1279±0.0018	0.8433±0.0011	0.3783±0.0004	0.3218±0.0011	Long Range Graph Benchmark
GINE	0.1337±0.0013	0.8147±0.0062	0.3642±0.0043	0.3180±0.0027	Long Range Graph Benchmark
Transformer+LapPE	0.1221±0.0011	0.8517±0.0039	0.3679±0.0033	0.3174±0.0020	Long Range Graph Benchmark
GCNII	0.1325±0.0009	0.8116±0.0009	0.3607±0.0003	0.3161±0.0004	Simple and Deep Graph Convolutional Networks
NeuralWalker	-	-	-	-	Learning Long Range Dependencies on Graphs via Random Walks

0 of 18 row(s) selected.

Link Prediction On Pcqm Contact | SOTA | HyperAI