NML-GCL learns a negative metric network that down-weights false negatives during contrastive training, improving node classification and clustering on six standard graph benchmarks.
Topology-aware debiased self-supervised graph learning for recommendation
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Negative Metric Learning for Graphs
NML-GCL learns a negative metric network that down-weights false negatives during contrastive training, improving node classification and clustering on six standard graph benchmarks.