8 papers
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…
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…
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…
Continuous Query for Top- Maximal Sum Intervals over Streaming Data
Zhongshuai Zhang, Xiaochun Yang, Baihua Zheng +3
The continuous identification of top- maximal sum intervals using a sliding window over a data stream is a critical operation for applications in IoT and beyond. A maximal sum i…
From Single to Multiple Attributes: Experimental Insights on Sampling-Based Distinct Combination Estimation in GROUP-BY Queries
Yujie Zhang, Xiaochun Yang, Bin Wang +1
Estimating the number of distinct combinations in multi-attribute GROUP-BY queries remains a significant yet underexplored challenge. Current cardinality estimation techniques prim…
Low-Latency Out-of-Core ANN Search in High-Dimensional Space
Ziwen Song, Bin Wang, Xiaochun Yang +1
In-memory graph-based approximate nearest neighbor (ANN) search has superior search performance but incurs significant memory footprint. Disk-based methods reduce memory usage but…
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)…
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…