OpenCodePapers
heterogeneous-node-classification-on-dblp-1
Node Classification
Heterogeneous Node Classification
Dataset Link
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Micro-F1 (20% training data)
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Macro-F1 (20% training data)
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Macro-F1 (60% training data)
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Micro-F1 (80% training data)
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Macro-F1 (80% training data)
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ModelName
ReleaseDate
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Heterogeneous Graph Attention Network
✓ Link
93.11%
92.24%
93.70%
93.99%
93.08%
HAN
2019-03-18
Heterogeneous Graph Attention Network
✓ Link
92.99%
92.03%
93.31%
93.29%
92.53%
HAN (sem)
2019-03-18
Heterogeneous Graph Attention Network
✓ Link
92.73%
91.64%
93.39%
92.53%
93.44%
ESim
2019-03-18
Heterogeneous Graph Attention Network
✓ Link
92.69%
91.68%
93.70%
93.27%
92.34%
HERec
2019-03-18
Heterogeneous Graph Attention Network
✓ Link
92.05%
91.17%
92.69%
92.69%
91.80%
HAN (nd)
2019-03-18
Heterogeneous Graph Attention Network
✓ Link
91.96%
90.97%
91.84%
92.55%
91.73%
GAT
2019-03-18
Heterogeneous Deep Graph Infomax
✓ Link
91.75%
90.94%
92.26%
91.53%
HDGI-C
2019-11-19
Heterogeneous Graph Attention Network
✓ Link
91.71%
90.79%
92.62%
93.09%
92.38%
GCN
2019-03-18
Heterogeneous Graph Attention Network
✓ Link
91.53%
90.16%
92.48%
92.80%
91.89%
metapath2vec
2019-03-18
Heterogeneous Deep Graph Infomax
✓ Link
90.62%
89.88%
91.92%
91.06%
HDGI-A
2019-11-19
Heterogeneous Graph Attention Network
✓ Link
79.37%
77.43%
85.27%
86.26%
84.81%
DeepWalk
2019-03-18
Non-local Attention Learning on Large Heterogeneous Information Networks
✓ Link
96.48%
NLAH (2ndprox)
2019-12-12
Non-local Attention Learning on Large Heterogeneous Information Networks
✓ Link
95.95%
NLAH (ppr)
2019-12-12
Non-local Attention Learning on Large Heterogeneous Information Networks
✓ Link
95.91%
NLAH (ppmi)
2019-12-12