Node Classification On Pascalvoc Sp 1

Métriques

macro F1

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
NeuralWalker	0.4912 ± 0.0042	Learning Long Range Dependencies on Graphs via Random Walks
GatedGCN-HSG	0.4604±0.0059	Next Level Message-Passing with Hierarchical Support Graphs
GPS-tuned	0.4440±0.0065	Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
GatedGCN+	0.4263 ± 0.0057	Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Exphormer	0.396±0.0027	Exphormer: Sparse Transformers for Graphs
GatedGCN-tuned	0.3880±0.0040	Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
GPS	0.3748±0.0109	Recipe for a General, Powerful, Scalable Graph Transformer
DRew-GatedGCN+LapPE	0.3314±0.0024	DRew: Dynamically Rewired Message Passing with Delay
SAN+LapPE	0.3230±0.0039	Long Range Graph Benchmark
SAN+RWSE	0.3216±0.0027	Long Range Graph Benchmark
GatedGCN+LapPE+virtual node	0.3103±0.0068	On the Connection Between MPNN and Graph Transformer
GatedGCN	0.2873±0.0219	Long Range Graph Benchmark
GatedGCN+LapPE	0.2860±0.0085	Long Range Graph Benchmark
GINE-tuned	0.2718±0.0054	Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
Transformer+LapPE	0.2694±0.0098	Long Range Graph Benchmark
GCN-tuned	0.2078±0.0031	Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
GCNII	0.1698±0.0080	Simple and Deep Graph Convolutional Networks
GCN	0.1268±0.0060	Long Range Graph Benchmark
GINE	0.1265±0.0076	Long Range Graph Benchmark

0 of 19 row(s) selected.

Node Classification On Pascalvoc Sp 1 | SOTA | HyperAI