18 citations · 22 across the 6 of their papers we have counts for
6 papers
TKG-Thinker: Towards Dynamic Reasoning over Temporal Knowledge Graphs via Agentic Reinforcement Learning
Zihao Jiang, Miao Peng, Zhenyan Shan +5
Temporal knowledge graph question answering (TKGQA) aims to answer time-sensitive questions by leveraging temporal knowledge bases. While Large Language Models (LLMs) demonstrate s…
Towards Explainable Temporal Reasoning in Large Language Models: A Structure-Aware Generative Framework
Zihao Jiang, Ben Liu, Miao Peng +4
While large language models (LLMs) show great potential in temporal reasoning, most existing work focuses heavily on enhancing performance, often neglecting the explainable reasoni…
Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning
Miao Peng, Ben Liu, Wenjie Xu +3
Temporal Knowledge Graph Reasoning (TKGR) is the task of inferring missing facts for incomplete TKGs in complex scenarios (e.g., transductive and inductive settings), which has bee…
Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
Wenjie Xu, Ben Liu, Miao Peng +2
Temporal Knowledge graph completion (TKGC) is a crucial task that involves reasoning at known timestamps to complete the missing part of facts and has attracted more and more atten…
SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction
Miao Peng, Ben Liu, Qianqian Xie +3
Link prediction is the task of inferring missing links between entities in knowledge graphs. Embedding-based methods have shown effectiveness in addressing this problem by modeling…
PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided Sampling
Xingye Chen, Yiqi Wu, Wenjie Xu +3
Geometrical structures and the internal local region relationship, such as symmetry, regular array, junction, etc., are essential for understanding a 3D shape. This paper proposes…