Matched Excess-Outranker Regularization for Candidate-Set Interference in Continual Knowledge Graph Embedding

arXiv:2608.24273 · cs.AI, cs.DB, cs.IR · Submitted 2026-08-25 · Read on arXiv

cs.AI, cs.DB, cs.IR

Submitted: 2026-08-25

Updated: 2026-08-26

Terminology

• Knowledge Graph — 39× in this paper · explained in 7 episodes
• Regularization — 21× in this paper · explained in 3 episodes
• Calibration — 16× in this paper · explained in 7 episodes
• Aggregation — 13× in this paper · explained in 1 episode
• Ablation — 11× in this paper · explained in 1 episode
• Catastrophic Forgetting — 9× in this paper · explained in 5 episodes
• Embeddings — 9× in this paper · explained in 2 episodes
• Matched Excess-Outranker Regularization — 9× in this paper
• Distillation — 7× in this paper · explained in 2 episodes
• Continual Learning — 5× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Representation Learning — 4× in this paper · explained in 2 episodes
• Knowledge graphs — 3× in this paper · explained in 2 episodes
• Score Function — 3× in this paper · explained in 4 episodes
• Matched Maximum Regularizer — 2× in this paper
• Normalizing Flow — 2× in this paper · explained in 3 episodes
• Unmatched Old Regularizer — 2× in this paper
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Data Provenance — 1× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 1× in this paper
• Flexible Memory Rotation — 1× in this paper
• Normalizing Flows — 1× in this paper · explained in 4 episodes
• Provenance — 1× in this paper · explained in 4 episodes

Sources

• Revisiting Catastrophic Forgetting in Continual Knowledge Graph Embedding

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