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SOTA
Heterogeneous Node Classification
Heterogeneous Node Classification On Freebase
Heterogeneous Node Classification On Freebase
Metrics
Macro-F1
Micro-F1
Results
Performance results of various models on this benchmark
Columns
Model Name
Macro-F1
Micro-F1
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
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Heterogeneous Node Classification On Freebase | SOTA | HyperAI