Classification on CIFAR10 100k

Metric: Accuracy (%) (higher is better)

LeaderboardDataset

Loading chart...

Results

Submit a result

#	Model↕	Accuracy (%)▼	Augmentations	Paper	Date↕	Code
1	GRIT	76.468	No	Graph Inductive Biases in Transformers without M...	2023-05-27	Code
2	TIGT	73.955	No	Topology-Informed Graph Transformer	2024-02-03	Code
3	ARGNP	73.9	No	Automatic Relation-aware Graph Network Prolifera...	2022-05-31	Code
4	DGN	72.84	No	Directional Graph Networks	2020-10-06	Code
5	GPS	72.298	No	Recipe for a General, Powerful, Scalable Graph T...	2022-05-25	Code
6	PNA	70.47	No	Principal Neighbourhood Aggregation for Graph Nets	2020-04-12	Code
7	EIGENFORMER	70.194	No	Graph Transformers without Positional Encodings	2024-01-31	-
8	GatedGCN	69.37	No	Residual Gated Graph ConvNets	2017-11-20	Code
9	EGT	68.702	No	Global Self-Attention as a Replacement for Graph...	2021-08-07	Code
10	GatedGCN	67.312	No	Benchmarking Graph Neural Networks	2020-03-02	Code
11	GraphSage	66.08	No	Inductive Representation Learning on Large Graphs	2017-06-07	Code
12	GAT	65.48	No	Graph Attention Networks	2017-10-30	Code
13	MoNet	53.42	No	Geometric deep learning on graphs and manifolds ...	2016-11-25	Code
14	GIN	53.28	No	How Powerful are Graph Neural Networks?	2018-10-01	Code