Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
TeRoR: Decoupled Temporal Rotation with Relational Circular Region for Temporal Knowledge Graph Embedding
Peijia Xie, Yike Liu, Chao He +1
In recent years, with the emergence of Temporal Knowledge Graphs (TKGs), research on learning entity and relation representations in TKGs has attracted increasing attention, giving…
cs.LG2026
CORE: Cyclic Orthotope Relation Embedding for Knowledge Graph Completion
Yingqi Zeng, Luying Wang, Huiling Zhu
Knowledge graph completion (KGC) aims to automatically infer missing facts in multi-relational data by mapping entities and relations into continuous representation spaces. Recent…
cs.LG2020
Dual Graph Representation Learning
Huiling Zhu, Xin Luo, Hankz Hankui Zhuo
Graph representation learning embeds nodes in large graphs as low-dimensional vectors and is of great benefit to many downstream applications. Most embedding frameworks, however, a…