Knowledge Distillation on Graphs: A Survey

Knowledge Distillation on Graphs: A Survey

1 February 2023

Xiangliang Zhang

Nitesh V. Chawla

Papers citing "Knowledge Distillation on Graphs: A Survey"

18 / 18 papers shown

Title
BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records Weimin Lyu Zexin Bi Fusheng Wang Chao Chen 42 5 0 06 Jul 2024
Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation Ge Chen Yulan Hu Sheng Ouyang Yong Liu Cuicui Luo 35 0 0 25 Jun 2024
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning Junjie Xu Zongyu Wu Min Lin Xiang Zhang Suhang Wang 30 11 0 03 Jun 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Xunkai Li Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Bin Cui GNN 39 3 0 07 May 2024
A Survey on Multimodal Wearable Sensor-based Human Action Recognition Jianyuan Ni Hao Tang Syed Tousiful Haque Yan Yan A. Ngu 71 6 0 14 Apr 2024
FlyKD: Graph Knowledge Distillation on the Fly with Curriculum Learning Eugene Ku 21 0 0 16 Mar 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation Lirong Wu Haitao Lin Zhangyang Gao Guojiang Zhao Stan Z. Li 40 8 0 06 Mar 2024
UGMAE: A Unified Framework for Graph Masked Autoencoders Yijun Tian Chuxu Zhang Ziyi Kou Zheyuan Liu Xiangliang Zhang Nitesh V. Chawla 21 1 0 12 Feb 2024
Classifying Nodes in Graphs without GNNs Daniel Winter Niv Cohen Yedid Hoshen 167 2 0 08 Feb 2024
Towards the Fundamental Limits of Knowledge Transfer over Finite Domains Qingyue Zhao Banghua Zhu 28 4 0 11 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 27 19 0 08 Oct 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang Ye Tian Minkai Xu Zhongyi Liu Shenda Hong Wei Qu Wentao Zhang Bin Cui Muhan Zhang J. Leskovec 29 13 0 04 Aug 2023
Accelerating Molecular Graph Neural Networks via Knowledge Distillation Filip Ekstrom Kelvinius D. Georgiev Artur P. Toshev Johannes Gasteiger 26 7 0 26 Jun 2023
RELIANT: Fair Knowledge Distillation for Graph Neural Networks Yushun Dong Binchi Zhang Yiling Yuan Na Zou Qi Wang Jundong Li 77 13 0 03 Jan 2023
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh V. Chawla 41 14 0 22 Aug 2022
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks Yijun Tian Chuxu Zhang Zhichun Guo Yihong Ma Ronald A Metoyer Nitesh V. Chawla 41 18 0 24 May 2022
Transferring Knowledge Distillation for Multilingual Social Event Detection Jiaqian Ren Hao Peng Lei Jiang Jia Wu Yongxin Tong Lihong Wang X. Bai Bo Wang Qiang Yang 46 12 0 06 Aug 2021
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang 157 226 0 23 Mar 2020