4 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…
EIDOS: Latent-Space Predictive Learning for Time Series Foundation Models
Xinxing Zhou, Qingren Yao, Yiji Zhao +5
Most time series foundation models are pretrained by directly predicting future observations, which often yields weakly structured latent representations that capture surface noise…
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…