CountTRuCoLa: Rule Learning for Interpretable Temporal Knowledge Graph Forecasting

arXiv:2509.09474 · cs.LG · Submitted 2025-09-11 · Read on arXiv

cs.LG

Submitted: 2025-09-11

Updated: 2026-08-26

Comments: Accepted at the 25th International Semantic Web Conference (ISWC) 2026. The Version of Record of this contribution will be published in 25th International Semantic Web Conference, Bari, Italy, October 25 to 29, Conference proceedings by Springer Nature, and a link will be added here upon publication

Code: https://github.com/JuliaGast/counttrucola_submission

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Knowledge Graph — 79× in this paper · explained in 7 episodes
• Aggregation — 29× in this paper · explained in 1 episode
• Knowledge graphs — 18× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Grounding — 9× in this paper · explained in 3 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Interpretability — 6× in this paper · explained in 15 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Core — 5× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 5× in this paper
• Meeting of the Association for Computational Linguistics — 3× in this paper
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• International Joint Conference on Artificial Intelligence — 2× in this paper
• Ontology — 2× in this paper · explained in 2 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation Function — 1× in this paper · explained in 1 episode
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• Integrated Crisis Early Warning System — 1× in this paper
• International Conference on Learning Representations — 1× in this paper
• Knowledge Base Construction — 1× in this paper · explained in 2 episodes
• Multi-hop Reasoning — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs

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