Graph Distillation with Eigenbasis Matching

13 October 2023

Papers citing "Graph Distillation with Eigenbasis Matching"

14 / 14 papers shown

Title
Efficient and Privacy-Preserved Link Prediction via Condensed Graphs Yunbo Long Liming Xu Alexandra Brintrup 50 0 0 15 Mar 2025
Understanding Dataset Distillation via Spectral Filtering Deyu Bo Songhua Liu Xinchao Wang DD 67 0 0 03 Mar 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 83 19 0 28 Jan 2025
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning Xinyi Gao Yayong Li Tong Chen Guanhua Ye W. Zhang Hongzhi Yin 71 2 0 26 Nov 2024
RobGC: Towards Robust Graph Condensation Xinyi Gao Hongzhi Yin Tong Chen Guanhua Ye Wentao Zhang Bin Cui AAML 46 3 0 19 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 26 3 0 07 May 2024
A Survey on Graph Condensation Hongjia Xu Liangliang Zhang Yao Ma Sheng Zhou Zhuonan Zheng Jiajun Bu 51 10 0 03 Feb 2024
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 8 19 0 08 Oct 2023
A Survey on Dataset Distillation: Approaches, Applications and Future Directions Jiahui Geng Zongxiong Chen Yuandou Wang Herbert Woisetschlaeger Sonja Schimmler Ruben Mayer Zhiming Zhao Chunming Rong DD 52 26 0 03 May 2023
Specformer: Spectral Graph Neural Networks Meet Transformers Deyu Bo Chuan Shi Lele Wang Renjie Liao 60 74 0 02 Mar 2023
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 124 137 0 30 Oct 2022
Graph Condensation via Receptive Field Distribution Matching Mengyang Liu Shanchuan Li Xinshi Chen Le Song DD 69 32 0 28 Jun 2022
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 84 445 0 04 Jan 2021
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 139 828 0 28 Sep 2019