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Node Classification
Node Classification On Dblp
Node Classification On Dblp
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy
Paper Title
GRACE
84.2 ± 0.1
Deep Graph Contrastive Representation Learning
RR-GCN-PPV
70.61
R-GCN: The R Could Stand for Random
R-GCN
68.51
R-GCN: The R Could Stand for Random
PairE
-
Graph Representation Learning Beyond Node and Homophily
DAOR
-
Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection
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