Node Classification on Cora: fixed 20 node per class

9개 결과 · ⬇ CSV · JSON

Accuracy

Rank	Model	Accuracy	Micro F1	Paper	Code	Year
1	DSGCN	84.2	–	Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks	balcilar/Spectral-Designed-Graph-Convolutions · sidneyarcidiacono/UnderstandingGCNs	2020
1	Self-supervised GraphMAE	84.2	–	GraphMAE: Self-Supervised Masked Graph Autoencoders	thudm/graphmae · thudm/graphmae2 · wehos/cellt	2022
3	LDS-GNN	84.1	–	Learning Discrete Structures for Graph Neural Networks	lucfra/LDS · lucfra/LDS-GNN	2019
4	SEGCN	83.5 ± 0.4	–	Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning	RoyalVane/SEGCN	2018
5	TREE-G	83.5	–	TREE-G: Decision Trees Contesting Graph Neural Networks	mayabechlerspeicher/tree-g	2022
6	SSGC	83.0	–	Simple Spectral Graph Convolution	allenhaozhu/SSGC · hazdzz/SSGC	2021
7	ScaleNet	82.3±1.1	–	Scale Invariance of Graph Neural Networks	qin87/scalenet	2024
8	Graph InfoClust (GIC)	81.7 ± 1.5	–	Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning	cmavro/Graph-InfoClust-GIC · cmavro/HeMI	2020
9	PairE	–	75.12	Graph Representation Learning Beyond Node and Homophily	syvail/PairE-Graph-Representation-Learning-Beyond-Node-and-Homophily	2022