Distilling Large Language Models for Text-Attributed Graph Learning

Distilling Large Language Models for Text-Attributed Graph Learning

19 February 2024

Papers citing "Distilling Large Language Models for Text-Attributed Graph Learning"

14 / 14 papers shown

Title
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation Chenxi Liu Hao Miao Qianxiong Xu Shaowen Zhou Cheng Long Yan Zhao Ziyue Li Rui Zhao AI4TS 29 1 0 04 May 2025
Toward General and Robust LLM-enhanced Text-attributed Graph Learning Zihao Zhang Xunkai Li R. Li Bing Zhou Zhenjun Li Guoren Wang 34 0 0 03 Apr 2025
Unlocking Multi-Modal Potentials for Dynamic Text-Attributed Graph Representation Yuanyuan Xu Wenjie Zhang Y. Zhang Xuemin Lin Xiwei Xu 54 0 0 27 Feb 2025
Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy Ruizhan Xue Huimin Deng Fang He Maojun Wang Zeyu Zhang 68 0 0 12 Feb 2025
TAGExplainer: Narrating Graph Explanations for Text-Attributed Graph Learning Models Bo Pan Zhen Xiong Guanchen Wu Zheng Zhang Yifei Zhang Liang Zhao FAtt 11 1 0 20 Oct 2024
Exploring the Potential of Large Language Models for Heterophilic Graphs Yuxia Wu Shujie Li Yuan Fang Chuan Shi 32 1 0 26 Aug 2024
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs Jiasheng Zhang Jialin Chen Menglin Yang Aosong Feng Shuang Liang Jie Shao Rex Ying 21 10 0 17 Jun 2024
ELAD: Explanation-Guided Large Language Models Active Distillation Yifei Zhang Bo Pan Chen Ling Yuntong Hu Liang Zhao 27 5 0 20 Feb 2024
Large Language Model Meets Graph Neural Network in Knowledge Distillation Shengxiang Hu Guobing Zou Song Yang Yanglan Gan Bofeng Zhang Yixin Chen 32 7 0 08 Feb 2024
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs Shengyin Sun Yuxiang Ren Chen Ma Xuecang Zhang 98 19 0 24 Nov 2023
Visual Attention Prompted Prediction and Learning Yifei Zhang Siyi Gu Bo Pan Guangji Bai Meikang Qiu Xiaofeng Yang Liang Zhao LRM VLM 16 2 0 12 Oct 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 204 498 0 03 May 2023
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Eli Chien Wei-Cheng Chang Cho-Jui Hsieh Hsiang-Fu Yu Jiong Zhang O. Milenkovic Inderjit S Dhillon 137 130 0 29 Oct 2021
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search Jason Zhu Yanling Cui Yuming Liu Hao-Lun Sun Xue Li Markus Pelger Tianqi Yan Liangjie Zhang Ruofei Zhang Huasha Zhao AI4CE 60 74 0 15 Jan 2021