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InGram: Inductive Knowledge Graph Embedding via Relation Graphs (ICML 2023)
Knowledge Graph Embedding
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers (KDD2023)
Knowledge Graph Embedding via Metagraph Learning (SIGIR 2021)
KDD 2023 - Clustering-Accelerated Representation Learning on Graphs
KDD 2023 - Knowledge Graph Self-Supervised Rationalization for Recommendation
KDD 2023 -Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph
What is Knowledge Graph Embedding
KDD 2023 - Knowledge Graph Reasoning over Entities and Numerical Values
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Last Updated: September 30, 2026
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Summary
Gayeong Kim, Sungkyunkwan University Presentation video - short version Numerical reasoning is inferring new facts based on ... Zequn Sun, Nanjing University Do you use Xinyue Hu, The University of Texas at Arlington. Jaejun Lee, KAIST In a hyper-relational Variant: TransE; TransH; TransR; DistMult; ComplEx Field: William Shiao, University of California, Riverside. Yuhao Yang, The University of Hong Kong. Youru Li, Beijing Jiaotong University To effectively explore the supply chain Likang Wu, University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence Zero-Shot
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