Unstructured and structured data: Can we have the best of both worlds with large language models?

25 April 2023

Papers citing "Unstructured and structured data: Can we have the best of both worlds with large language models?"

8 / 8 papers shown

Title
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks Wenqian Li Yinchuan Li Zhigang Li Jianye Hao Yan Pang 83 29 0 04 Mar 2023
GANExplainer: GAN-based Graph Neural Networks Explainer Yiqiao Li Jianlong Zhou Boyuan Zheng Fang Chen LLMAG 32 4 0 30 Dec 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 27 30 0 21 Oct 2022
ReAct: Synergizing Reasoning and Acting in Language Models Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan Yuan Cao LLMAG ReLM LRM 233 2,479 0 06 Oct 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 352 8,457 0 28 Jan 2022
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models Torsten Scholak Nathan Schucher Dzmitry Bahdanau 146 374 0 10 Sep 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 167 591 0 31 Dec 2020