SigGate-GT applies sigmoid gates to attention outputs in graph transformers to reduce over-smoothing, matching prior best on ZINC and setting new SOTA on ogbg-molhiv with gains over GraphGPS.
Graph Convolutions Enrich the Self-Attention in Transformers!
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SigGate-GT: Taming Over-Smoothing in Graph Transformers via Sigmoid-Gated Attention
SigGate-GT applies sigmoid gates to attention outputs in graph transformers to reduce over-smoothing, matching prior best on ZINC and setting new SOTA on ogbg-molhiv with gains over GraphGPS.