Towards multi-label graph foundation models: from single-vector representation learning to multi-semantic basis learning
Read the original at arxiv.org→arXiv:2608.06394v1 Announce Type: new Abstract: Multi-label node classification is an important yet challenging task in graph learning, where nodes exhibit multiple semantics simultaneously. Existing methods for...
Original headline: "Towards Multi-Label Graph Foundation Models: from Single-Vector Representation Learning to Multi-Semantic Basis Learning"
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- Aug 10, 04:00 UTC arXiv cs.AI lead source Towards Multi-Label Graph Foundation Models: from Single-Vector Representation Learning to Multi-Semantic Basis Learning