CHAT, a sampling-based graph transformer with concentrated random walks and a connection-aware dual-loss objective, outperforms meta-path and GNN baselines on three drug-target interaction datasets.
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CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks
CHAT, a sampling-based graph transformer with concentrated random walks and a connection-aware dual-loss objective, outperforms meta-path and GNN baselines on three drug-target interaction datasets.