Yue Jian — accepted AI-conference papers

2026

PAAL: Pattern-Anchor Alignment for Continual Knowledge Graph Embedding Under Structural Distribution Shift

Yue Jian, Lin Li, Kaize Shi, Junwei Zhou, Yu Yang

IJCAI 2026

Continual knowledge graph embedding (CKGE) has gained popularity for managing dynamic knowledge graphs. Unlike general graph continual-learning approaches, CKGE focuses on retaining triple-level knowledge, thereby overcoming the inability of static models to accommodate continuously arriving facts.

Cited by 0 Scholar ↗

2025

APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty

Yue Jian, Xiangyu Luo, Zhifei Li, Miao Zhang, Yan Zhang, Kui Xiao +1

AAAI 2025technical

Multimodal knowledge graphs (MMKG) store structured world knowledge enriched with multimodal descriptive information. However, MMKG often faces the challenge of incompleteness. The primary objective of multimodal knowledge graph completion (MMKGC) is to predict missing entities within MMKG. Current…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗