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cs.LG2026
ASPECT: Node-Level Adaptive Spectral Fusion for Graph Contrastive Learning
Zhuolong Li, Boxue Yang, Haopeng Chen
Spectral graph contrastive learning often constructs low- and high-frequency views to capture complementary graph signals, but these views are commonly combined by graph-level or n…
cs.LG2021★ 30 cited
Edge-Featured Graph Attention Network
Jun Chen, Haopeng Chen
Lots of neural network architectures have been proposed to deal with learning tasks on graph-structured data. However, most of these models concentrate on only node features during…