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cs.AI2026
Evolving Beyond Snapshots: Harmonizing Structure and Sequence via Entity State Tuning for Temporal Knowledge Graph Forecasting
Siyuan Li, Yunjia Wu, Yiyong Xiao +5
Temporal knowledge graph (TKG) forecasting requires predicting future facts by jointly modeling structural dependencies within each snapshot and temporal evolution across snapshots…
cs.AI2025
Beyond Prefixes: Graph-as-Memory Cross-Attention for Knowledge Graph Completion with Large Language Models
Ruitong Liu, Boxu Lin, Peize Li +4
Fusing Knowledge Graphs with Large Language Models (LLMs) is crucial for knowledge-intensive tasks like knowledge graph completion. Existing LLM-based approaches typically inject g…
cs.AI2025
Context-Driven Knowledge Graph Completion with Semantic-Aware Relational Message Passing
Siyuan Li, Yan Wen, Ruitong Liu +4
Semantic context surrounding a triplet is crucial for Knowledge Graph Completion (KGC), providing vital cues for prediction. However, traditional node-based message pas…