855 citations · 2.8k across the 100 of their papers we have counts for
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Code-on-Graph: Iterative Programmatic Reasoning via Large Language Models on Knowledge Graphs
Weiwei Ding, Zixuan Li, Long Bai +7
Knowledge Graphs (KGs) are widely used to mitigate the limitations of Large Language Models (LLMs), such as outdated knowledge and hallucinations. Existing LLM-KG integration frame…
Retrieval-Augmented Code Generation for Universal Information Extraction
Yucan Guo, Zixuan Li, Xiaolong Jin +8
Information Extraction (IE) aims to extract structural knowledge (e.g., entities, relations, events) from natural language texts, which brings challenges to existing methods due to…
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning
Zixuan Li, Zhongni Hou, Saiping Guan +7
A Temporal Knowledge Graph (TKG) is a sequence of KGs with respective timestamps, which adopts quadruples in the form of (\emph{subject}, \emph{relation}, \emph{object}, \emph{time…
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning
Zixuan Li, Saiping Guan, Xiaolong Jin +7
A Temporal Knowledge Graph (TKG) is a sequence of KGs corresponding to different timestamps. TKG reasoning aims to predict potential facts in the future given the historical KG seq…
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations
Shengxian Wan, Yanyan Lan, Jiafeng Guo +3
Matching natural language sentences is central for many applications such as information retrieval and question answering. Existing deep models rely on a single sentence representa…