Knowledge Distillation on Graphs: A Survey

ACM Computing Surveys (ACM Comput. Surv.), 2023

1 February 2023

Papers citing "Knowledge Distillation on Graphs: A Survey"

20 / 20 papers shown

Title
Layer-to-Layer Knowledge Mixing in Graph Neural Network for Chemical Property Prediction Teng Jiek See Daokun Zhang Mario Boley David K. Chalmers 99 0 0 23 Oct 2025
Automated Knowledge Graph Construction using Large Language Models and Sentence Complexity Modelling Sydney Anuyah Mehedi Mahmud Kaushik Krishna Dwarampudi Rakesh Shiradkar Arjan Durresi Sunandan Chakraborty SLR 148 0 0 22 Sep 2025
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Lincan Li Bolin Shen Chenxi Zhao Yuxiang Sun Kaixiang Zhao Shirui Pan Yushun Dong 144 1 0 27 Aug 2025
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering Yankai Chen Yue Que Xinni Zhang Chen Ma Irwin King 203 2 0 03 Jun 2025
Towards Faster and More Compact Foundation Models for Molecular Property Prediction Yasir Ghunaim Andrés Villa Gergo Ignacz Gyorgy Szekely Motasem Alfarra Bernard Ghanem AI4CE 286 0 0 28 Apr 2025
BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records Weimin Lyu Zexin Bi Fusheng Wang Chao Chen 204 10 0 06 Jul 2024
Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation Ge Chen Yulan Hu Sheng Ouyang Yong Liu Cuicui Luo 163 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 285 19 0 03 Jun 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Miao Hu Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Tengjiao Wang GNN 274 0 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 240 20 0 14 Apr 2024
FlyKD: Graph Knowledge Distillation on the Fly with Curriculum Learning Eugene Ku 97 1 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 166 20 0 06 Mar 2024
A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems Zihao Yi Jiarui Ouyang Yuwen Liu Yuwen Liu Tianhao Liao Haohao Luo Ying Shen LRM LLMAG 341 142 0 28 Feb 2024
UGMAE: A Unified Framework for Graph Masked Autoencoders Yijun Tian Chuxu Zhang Ziyi Kou Zheyuan Liu Xiangliang Zhang Nitesh Chawla 208 3 0 12 Feb 2024
Classifying Nodes in Graphs without GNNs Daniel Winter Niv Cohen Yedid Hoshen 297 3 0 08 Feb 2024
Towards the Fundamental Limits of Knowledge Transfer over Finite DomainsInternational Conference on Learning Representations (ICLR), 2023 Qingyue Zhao Banghua Zhu 396 5 0 11 Oct 2023
Data-centric Graph Learning: A SurveyIEEE Transactions on Big Data (IEEE Trans. Big Data), 2023 Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 286 29 0 08 Oct 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPsInternational Conference on Learning Representations (ICLR), 2023 Ling Yang Ye Tian Minkai Xu Zhongyi Liu Shenda Hong Wei Qu Wentao Zhang Tengjiao Wang Muhan Zhang J. Leskovec 214 29 0 04 Aug 2023
Accelerating Molecular Graph Neural Networks via Knowledge DistillationNeural Information Processing Systems (NeurIPS), 2023 Filip Ekstrom Kelvinius D. Georgiev Artur Toshev Johannes Gasteiger 237 14 0 26 Jun 2023
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh Chawla 301 16 0 22 Aug 2022