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20232025
most citedIntegrating Graphs with Large Language Models: Methods and Prospects

25 citations · 51 across the 5 of their papers we have counts for

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cs.LG2023

PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection

Junjun Pan, Yixin Liu, Yizhen Zheng +1

Node-level graph anomaly detection (GAD) plays a critical role in identifying anomalous nodes from graph-structured data in various domains such as medicine, social networks, and e…

cs.AI2023★ 12 cited

Large Language Models for Scientific Synthesis, Inference and Explanation

Yizhen Zheng, Huan Yee Koh, Jiaxin Ju +4

Large language models are a form of artificial intelligence systems whose primary knowledge consists of the statistical patterns, semantic relationships, and syntactical structures…

cs.AI2023★ 25 cited

Integrating Graphs with Large Language Models: Methods and Prospects

Shirui Pan, Yizhen Zheng, Yixin Liu

Large language models (LLMs) such as GPT-4 have emerged as frontrunners, showcasing unparalleled prowess in diverse applications, including answering queries, code generation, and…