FlowNeg: GFlowNet-Guided Diverse Hard Negative Sampling for Knowledge Graph Embedding

arXiv:2608.23849 · cs.LG · Submitted 2026-08-24 · Read on arXiv

cs.LG

Submitted: 2026-08-24

Updated: 2026-08-24

Terminology

• Knowledge Graph — 19× in this paper · explained in 7 episodes
• Embeddings — 8× in this paper · explained in 2 episodes
• Calibration — 7× in this paper · explained in 7 episodes
• AUROC — 5× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Contrastive Learning — 3× in this paper · explained in 5 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Actor — 2× in this paper · explained in 3 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Knowledge graphs — 2× in this paper · explained in 2 episodes
• Provenance — 2× in this paper · explained in 4 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Alternation — 1× in this paper · explained in 1 episode
• Amortization — 1× in this paper · explained in 1 episode
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Causal Discovery — 1× in this paper · explained in 2 episodes
• Credit assignment — 1× in this paper · explained in 3 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Tucker Decomposition — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

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