Author

Jia-Yu Zhang

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Conference Open access Sep 2026

Multi-Semantic Aware Self-Supervised Learning for Multi-Label Node Classification

A multi-pseudo-label decomposition mechanism is proposed, enabling adaptive learning of multiple semantics within nodes without annotations, in a bold attempt to extend graph self-supervised learning to multi-label graphs.

Jia-Yu Zhang, Ji-Tao Zhao, Dong-Xiao He et al. · Proceedings of the Thirty-Fi... · 0 citations

Preprint Jul 2026

Towards Multi-Label Graph Foundation Models: from Single-Vector Representation Learning to Multi-Semantic Basis Learning

A multi-semantic basis representation learning paradigm that models each multi-label node as an adaptive composition of semantic bases, thereby enabling flexible representational capacity for modeling multiple semantics.

Dong-Xiao He, Jia-Yu Zhang, Ji-Tao Zhao et al. · 0 citations