activity
20202026
most citedReveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking

13 citations · 35 across the 15 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

cs.AI2026

LLM-Based Knowledge Graph Completion Combining Discrete Structural Coding with Similar Entity Information

Jiaqi Wang, Dongying Lin, Yang Yang +3

Knowledge graph completion requires models to use both textual descriptions and relational structure. Existing LLM-based methods either encode KG structure as discrete tokens or re…

cs.IR2026

Adapting Knowledge Graphs for Behavior Denoising in Sequential Recommendation

Zichun Jin, Zihan Zhou, Yinan Liu +2

Sequential recommendation predicts the next item from a user's interaction history, but not every interaction is equally informative. Real logs combine persistent preferences with…

cs.AI2026

Enhancing LLMs in Predictive Political QA with Semi-Structured Data

Yinan Liu, Zihan Zhou, Zichun Jin +3

Predictive political question answering (QA), such as predicting how a political actor will vote, goes beyond factual lookup. External political resources offer rich historical evi…

cs.AI2026

Boosting Knowledge Graph Foundation Models via Enhanced Negative Sampling

Yinan Liu, Wenjin Xu, Zhiyuan Zha +2

Knowledge graphs (KGs) have become the core backbone of numerous downstream tasks such as question answering and recommender systems. However, despite all this, KGs are often very…

cs.AI2026

Joint Knowledge Base Completion and Question Answering by Combining Large Language Models and Small Language Models

Yinan Liu, Dongying Lin, Sigang Luo +2

Knowledge Bases (KBs) play a key role in various applications. As two representative KB-related tasks, knowledge base completion (KBC) and knowledge base question answering (KBQA)…

cs.AI2026

OntoTKGE: Ontology-Enhanced Temporal Knowledge Graph Extrapolation

Dongying Lin, Yinan Liu, Shengwei tang +2

Temporal knowledge graph (TKG) extrapolation is an important task that aims to predict future facts through historical interaction information within KG snapshots. A key challenge…

cs.HC2026

DiagLink: A Dual-User Diagnostic Assistance System by Synergizing Experts with LLMs and Knowledge Graphs

Zihan Zhou, Yinan Liu, Yuyang Xie +3

The global shortage and uneven distribution of medical expertise continue to hinder equitable access to accurate diagnostic care. While existing intelligent diagnostic system have…