FlowNeg: a GFlowNet-guided approach for diverse hard negative sampling in knowledge graph embedding
Read the original at arxiv.org→arXiv:2608.23849v1 Announce Type: new Abstract: Negative sampling determines whether a knowledge graph embedding (KGE) model learns from informative counterexamples or wastes updates on implausible corruptions....
Original headline: "FlowNeg: GFlowNet-Guided Diverse Hard Negative Sampling for Knowledge Graph Embedding"
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- Aug 26, 04:00 UTC arXiv cs.LG lead source FlowNeg: GFlowNet-Guided Diverse Hard Negative Sampling for Knowledge Graph Embedding