Heterogeneous Node Classification on ACM (Heterogeneous Node Classification)

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Macro-F1

Rank	Model	Macro-F1	Micro-F1	Claim Classification Macro-F1	Macro-F1	Paper	Code	Year
1	RpHGNN	94.09	94.04	–	–	Efficient Heterogeneous Graph Learning via Random Projection	CrawlScript/RpHGNN	2023
2	SlotGAT	93.99	94.06	–	–	SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network	scottjiao/slotgat_icml23	2024
3	Simple-HGN	93.42	93.35	–	–	Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks	thudm/hgb · calderkatyal/CPSC483FinalProject	2021
4	NARS	93.36	93.31	–	–	Scalable Graph Neural Networks for Heterogeneous Graphs	facebookresearch/NARS	2020
5	GCN	92.17	92.12	–	–	Semi-Supervised Classification with Graph Convolutional Networks	dmlc/dgl · dmlc/dgl · tkipf/gcn · +52	2016
6	RGCN	91.55	91.41	–	–	Modeling Relational Data with Graph Convolutional Networks	dmlc/dgl · dmlc/dgl · dmlc/dgl · +24	2017
7	GTN	91.31	91.20	–	–	Graph Transformer Networks	seongjunyun/Graph_Transformer_Networks	2019
8	HGT	91.12	91.00	–	–	Heterogeneous Graph Transformer	dmlc/dgl · acbull/pyHGT · acbull/pyHGT · +1	2020
9	HetSANN	90.02	89.91	–	–	An Attention-based Graph Neural Network for Heterogeneous Structural Learning	didi/hetsann	2019
10	SeHGNN	–	93.87	93.95	–	Simple and Efficient Heterogeneous Graph Neural Network	ict-gimlab/sehgnn · ICT-GIMLab/SeHGNN	2022
11	GAT	–	92.19	–	92.26	Graph Attention Networks	labmlai/annotated_deep_learning_paper_implementations · dmlc/dgl · dmlc/dgl · +90	2017