AINeutralarXiv – CS AI · 9h ago5/10
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ASPECT: Node-Level Adaptive Spectral Fusion for Graph Contrastive Learning
Researchers introduce ASPECT, a novel spectral graph contrastive learning method that adaptively fuses low- and high-frequency graph signals at the node level rather than uniformly across entire graphs. The approach demonstrates improved representation quality on both homophilic and heterophilic graph benchmarks, addressing limitations in existing graph-level fusion strategies.