Heterogeneous Node Classification on Freebase (Heterogeneous Node Classification)

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Macro-F1

Rank	Model	Macro-F1	Micro-F1	Macro-F1	Accuracy	Paper	Code	Year
1	RpHGNN	54.02	66.55	–	–	Efficient Heterogeneous Graph Learning via Random Projection	CrawlScript/RpHGNN	2023
2	NARS	49.98	63.26	–	–	Scalable Graph Neural Networks for Heterogeneous Graphs	facebookresearch/NARS	2020
3	SlotGAT	49.68	66.83	–	–	SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network	scottjiao/slotgat_icml23	2024
4	Simple-HGN	47.72	66.29	–	–	Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks	thudm/hgb · calderkatyal/CPSC483FinalProject	2021
5	RGCN	46.78	58.33	–	–	Modeling Relational Data with Graph Convolutional Networks	dmlc/dgl · dmlc/dgl · dmlc/dgl · +24	2017
6	HGT	29.28	60.51	–	–	Heterogeneous Graph Transformer	dmlc/dgl · acbull/pyHGT · acbull/pyHGT · +1	2020
7	GCN	27.84	60.23	–	–	Semi-Supervised Classification with Graph Convolutional Networks	dmlc/dgl · dmlc/dgl · tkipf/gcn · +52	2016
8	SeHGNN	–	63.41	50.71	–	Simple and Efficient Heterogeneous Graph Neural Network	ict-gimlab/sehgnn · ICT-GIMLab/SeHGNN	2022
9	GAT	–	–	40.74	65.26	Graph Attention Networks	labmlai/annotated_deep_learning_paper_implementations · dmlc/dgl · dmlc/dgl · +90	2017