Compact Graph Structure Learning via Mutual Information Compression

14 January 2022

Papers citing "Compact Graph Structure Learning via Mutual Information Compression"

20 / 20 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 32 0 0 02 May 2025
Rethinking Graph Structure Learning in the Era of LLMs Zhihan Zhang Xunkai Li Guang Zeng Hongchao Qin R. Li Guoren Wang 44 0 0 27 Mar 2025
Training Robust Graph Neural Networks by Modeling Noise Dependencies Yeonjun In Kanghoon Yoon Sukwon Yun Kibum Kim Sungchul Kim Chanyoung Park OOD NoLa 76 0 0 27 Feb 2025
Uncertainty-Aware Graph Structure Learning Shen Han Zhiyao Zhou Jiawei Chen Zhezheng Hao Sheng Zhou Gang Wang Yan Feng C. L. P. Chen C. Wang 43 2 0 20 Feb 2025
ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network Jincheng Huang Yujie Mo Xiaoshuang Shi Lei Feng Xiaofeng Zhu 34 0 0 04 Nov 2024
Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning Guangxin Su Yifan Zhu Wenjie Zhang Hanchen Wang Ying Zhang 36 1 0 15 Oct 2024
Demystifying Higher-Order Graph Neural Networks Maciej Besta Florian Scheidl Lukas Gianinazzi S. Klaiman Jürgen Müller Torsten Hoefler 38 2 0 18 Jun 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 33 3 0 27 May 2024
GraphEdit: Large Language Models for Graph Structure Learning Zirui Guo Lianghao Xia Yanhua Yu Yuling Wang Zixuan Yang Zhiyong Huang Chao Huang 44 18 0 23 Feb 2024
Self-Guided Robust Graph Structure Refinement Yeonjun In Kanghoon Yoon Kibum Kim Kijung Shin Chanyoung Park AAML 21 7 0 19 Feb 2024
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing Li Sun Zhenhao Huang Hua Wu Junda Ye Hao Peng Zhengtao Yu Philip S. Yu 24 11 0 23 Jan 2024
GSLB: The Graph Structure Learning Benchmark Zhixun Li Liang Wang Xin Sun Yifan Luo Yanqiao Zhu ... Xiangxin Zhou Qiang Liu Shu Wu Liang Wang Jeffrey Xu Yu 33 33 0 08 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Guy Van den Broeck Mathias Niepert Christopher Morris 31 12 0 03 Oct 2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning Zhiyao Zhou Sheng Zhou Bochao Mao Xu Zhou Jiawei Chen Qiaoyu Tan Daochen Zha Yan Feng Chun-Yen Chen C. Wang 29 20 0 17 Jun 2023
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation Yingxi Chen Siwei Qiang Mingming Ha Xiaolei Liu Shaoshuai Li Lingfeng Yuan Xiaobo Guo Zheng Hua Zhu 19 2 0 30 Nov 2022
Graph Data Augmentation for Graph Machine Learning: A Survey Tong Zhao Wei Jin Yozen Liu Yingheng Wang Gang Liu Stephan Günnemann Neil Shah Meng-Long Jiang OOD 20 78 0 17 Feb 2022
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 88 224 0 24 Oct 2020
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural Networks Yu Chen Lingfei Wu Mohammed J. Zaki 8 49 0 13 Apr 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,072 0 13 Feb 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018