FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks

14 June 2022

Papers citing "FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks"

9 / 9 papers shown

Title
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Xunkai Li Zhengyu Wu Kaichi Yu Hongchao Qin Guang Zeng Rong-Hua Li Guoren Wang 35 0 0 02 May 2025
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation Lirong Wu Haitao Lin Zhangyang Gao Guojiang Zhao Stan Z. Li 38 8 0 06 Mar 2024
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 16 16 0 08 Aug 2023
Knowledge-Distilled Graph Neural Networks for Personalized Epileptic Seizure Detection Qinyue Zheng Arun Venkitaraman Simona Petravic P. Frossard FedML 18 1 0 03 Apr 2023
Towards Open Temporal Graph Neural Networks Kaituo Feng Changsheng Li Xiaolu Zhang Jun Zhou AI4CE 22 15 0 27 Mar 2023
Knowledge Distillation on Graphs: A Survey Yijun Tian Shichao Pei Xiangliang Zhang Chuxu Zhang Nitesh V. Chawla 10 28 0 01 Feb 2023
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang 146 226 0 23 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,077 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 145 835 0 28 Sep 2019