BridgeMem: Causal Dyadic Transition Residuals for Temporal Knowledge Graph Forecasting

arXiv:2609.29268 · cs.LG · Submitted 2026-09-24 · Read on arXiv

cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Knowledge Graph — 22× in this paper · explained in 7 episodes
• Actor — 11× in this paper · explained in 3 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Knowledge graphs — 6× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 3× in this paper
• Embeddings — 2× in this paper · explained in 2 episodes
• International Joint Conference on Artificial Intelligence — 2× in this paper
• Temporal Reasoning — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Thirteenth International Conference on Learning Representations — 1× in this paper

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