Research map / Graph learning / Knowledge and temporal graphs
ChronoR: Rotation Based Temporal Knowledge Graph Embedding
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use k=3 rather than planar rotations with k=2 (ablation) | ChronoR · ICEWS14 | MRR: 62.53 -> 59.39 | Hurt |
| Use k=3 rather than planar rotations with k=2 (ablation) | ChronoR · ICEWS05-15 | MRR: 67.50 -> 68.41 | Helped |
| Use k=3 rather than planar rotations with k=2 (ablation) | ChronoR · YAGO15K | MRR: 36.62 -> 36.50 | Hurt |
| Use the proposed fourth-order regularizer Λ4 instead of the compared regularization (ablation) | ChronoR (k=2) · ICEWS14 | MRR: increases MRR by 2 points; ... increase MRR up to 7 points | Helped |
Closest papers by meaning
- HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces (AAAI 2024 · similarity 0.90)
- TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning (AAAI 2024 · similarity 0.88)
- TeDS: Joint Learning of Diachronic and Synchronic Perspectives in Quaternion Space for Temporal Knowledge Graph Completion (ICML 2025 · similarity 0.87)
- TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs (NeurIPS 2024 · similarity 0.87)
- Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere (AAAI 2025 · similarity 0.87)
- CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework (AAAI 2025 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.