Node Classification on Wisconsin

63개 결과 · ⬇ CSV · JSON

Accuracy

Rank	Model	Accuracy	Paper	Code	Year
1	5-HiGCN	94.99±0.65	Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes	yiminghh/higcn	2023
2	RDGNN-I	93.72 ± 4.59	Graph Neural Reaction Diffusion Models		2024
3	DJ-GNN	92.54±3.70	Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters	AhmedBegggaUA/TFM	2023
4	H2GCN-RARE (λ=1.0)	90.00±2.97	GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy		2023
5	O(d)-NSD	89.41 ± 4.74	Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs	twitter-research/neural-sheaf-diffusion	2022
6	Gen-NSD	89.21 ± 3.84	Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs	twitter-research/neural-sheaf-diffusion	2022
7	M2M-GNN	89.01 ± 4.1	Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs	Jinx-byebye/m2mgnn	2024
8	HDP	88.82 ± 3.40	Heterophilous Distribution Propagation for Graph Neural Networks		2024
9	MGNN + Hetero-S (6 layers)	88.77	The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs	bingreeky/heterosnoh	2024
10	Conn-NSD	88.73±4.47	Sheaf Neural Networks with Connection Laplacians	antoniopurificato/sheaf4rec	2022
11	Diag-NSD	88.63 ± 2.75	Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs	twitter-research/neural-sheaf-diffusion	2022
12	SADE-GCN	88.63±4.54	Self-attention Dual Embedding for Graphs with Heterophily		2023
13	FSGNN (3-hop)	88.43±3.22	Improving Graph Neural Networks with Simple Architecture Design	sunilkmaurya/FSGNN	2021
14	ACM-GCN	88.43 ± 3.22	Revisiting Heterophily For Graph Neural Networks	SitaoLuan/ACM-GNN	2022
15	ACM-GCN+	88.43 ± 2.39	Revisiting Heterophily For Graph Neural Networks	SitaoLuan/ACM-GNN	2022
16	ACMII-GCN++	88.43 ± 3.66	Revisiting Heterophily For Graph Neural Networks	SitaoLuan/ACM-GNN	2022
17	LHS	88.32±2.3	Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks		2023
18	ACM-GCN++	88.24 ± 3.16	Revisiting Heterophily For Graph Neural Networks	SitaoLuan/ACM-GNN	2022
19	GloGNN++	88.04±3.22	Finding Global Homophily in Graph Neural Networks When Meeting Heterophily	recklessronan/glognn	2022
20	ACMII-GCN+	88.04 ± 3.66	Revisiting Heterophily For Graph Neural Networks	SitaoLuan/ACM-GNN	2022