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Heng-Kai Zhang

2 accepted papers

2024

HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors

AAAI 2024technical

Graph Attention Networks (GATs) that compute node representation by its lower-order neighbors, are state-of-the-art architecture for representation learning with graphs. In practice, however, the high-order neighbors that turn out to be useful, remain largely unemployed in GATs. Efforts on this issu…

Cited by 16SourcePDFScholar
2024

LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning

IJCAI 2024poster

Graph-based consistency principle has been successfully applied to many semi-supervised problems in machine learning. Its performance largely depends on the quality of augmented graphs, which has been recently proven that revealing graph properties and maintaining the invariance of graphs are crucia…

Cited by 0SourcePDFScholar