5 papers
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…
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…
Towards Source-Aware Object Swapping with Initial Noise Perturbation
Jiahui Zhan, Xianbing Sun, Xiangnan Zhu +4
Object swapping aims to replace a source object in a scene with a reference object while preserving object fidelity, scene fidelity, and object-scene harmony. Existing methods eith…
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…
Flow-Modulated Scoring for Semantic-Aware Knowledge Graph Completion
Siyuan Li, Ruitong Liu, Yan Wen +4
Knowledge graph completion demands effective modeling of multifaceted semantic relationships between entities. Yet, prevailing methods, which rely on static scoring functions over…