Heterogeneous Node Classification On Freebase

Metrics

Macro-F1

Micro-F1

Results

Performance results of various models on this benchmark

			Paper Title
SlotGAT	-	66.83	SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network
RpHGNN	-	66.55	Efficient Heterogeneous Graph Learning via Random Projection
Simple-HGN	-	66.29	Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks
SeHGNN	50.71	63.41	Simple and Efficient Heterogeneous Graph Neural Network
NARS	-	63.26	Scalable Graph Neural Networks for Heterogeneous Graphs
HGT	-	60.51	Heterogeneous Graph Transformer
GCN	-	60.23	Semi-Supervised Classification with Graph Convolutional Networks
RGCN	-	58.33	Modeling Relational Data with Graph Convolutional Networks
GAT	40.74	-	Graph Attention Networks

0 of 9 row(s) selected.

Heterogeneous Node Classification On Freebase

Metrics

Macro-F1

Micro-F1

Results

Performance results of various models on this benchmark

			Paper Title
SlotGAT	-	66.83	SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network
RpHGNN	-	66.55	Efficient Heterogeneous Graph Learning via Random Projection
Simple-HGN	-	66.29	Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks
SeHGNN	50.71	63.41	Simple and Efficient Heterogeneous Graph Neural Network
NARS	-	63.26	Scalable Graph Neural Networks for Heterogeneous Graphs
HGT	-	60.51	Heterogeneous Graph Transformer
GCN	-	60.23	Semi-Supervised Classification with Graph Convolutional Networks
RGCN	-	58.33	Modeling Relational Data with Graph Convolutional Networks
GAT	40.74	-	Graph Attention Networks

0 of 9 row(s) selected.

Heterogeneous Node Classification On Freebase | SOTA | HyperAI