Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks

2 July 2024

Yuwen Wang

Mingli Song

Papers citing "Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks"

37 / 37 papers shown

Title
Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map Shunyu Liu Wei Luo Yanzhen Zhou Kaixuan Chen Quan Zhang Huating Xu Qinglai Guo Mingli Song 50 14 0 24 May 2024
Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket Yuwen Wang Shunyu Liu Kai Chen Tongtian Zhu Jilin Qiao Mengjie Shi Yuanyu Wan Mingli Song 33 6 0 05 Aug 2023
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation Yu Wang Tongya Zheng Shunyu Liu Zunlei Feng Kaixuan Chen Yunzhi Hao Min-Gyoo Song 66 8 0 15 Jun 2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization Kaixuan Chen Shunyu Liu Tongtian Zhu Tongya Zheng Haofei Zhang Zunlei Feng Jingwen Ye Mingli Song 68 14 0 31 May 2023
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics Yiqiao Li Jianlong Zhou Sunny Verma Fang Chen XAI 68 40 0 26 Jul 2022
Learning Graph Neural Networks for Image Style Transfer Yongcheng Jing Yining Mao Yiding Yang Yibing Zhan Xiuming Zhang Xinchao Wang Dacheng Tao 67 55 0 24 Jul 2022
On Calibration of Graph Neural Networks for Node Classification Tong Liu Yushan Liu Marcel Hildebrandt Mitchell Joblin Hang Li Volker Tresp 69 11 0 03 Jun 2022
Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek Mikhail Galkin Vijay Prakash Dwivedi Anh Tuan Luu Guy Wolf Dominique Beaini 106 564 0 25 May 2022
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System Kaixuan Chen Shunyu Liu Na Yu Rong Yan Quan Zhang Mingli Song Zunlei Feng Mingli Song OOD 31 5 0 12 May 2022
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning Kaize Ding Yancheng Wang Yingzhen Yang Huan Liu 60 21 0 17 Feb 2022
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism Siqi Miao Miaoyuan Liu Pan Li 78 207 0 31 Jan 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels Aosong Feng Chenyu You Shiqiang Wang Leandros Tassiulas GNN 36 79 0 03 Jan 2022
ProtGNN: Towards Self-Explaining Graph Neural Networks Zaixin Zhang Qi Liu Hao Wang Chengqiang Lu Chee-Kong Lee 42 128 0 02 Dec 2021
Learnable Structural Semantic Readout for Graph Classification Dongha Lee Seon Gyeom Kim Seonghyeon Lee Chanyoung Park Hwanjo Yu GNN 40 20 0 22 Nov 2021
Federated Social Recommendation with Graph Neural Network Zhiwei Liu Liangwei Yang Ziwei Fan Hao Peng Philip S. Yu FedML 57 153 0 21 Nov 2021
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network Xiyue Zhang Chao Huang Yong-mei Xu Lianghao Xia Peng Dai Liefeng Bo Junbo Zhang Yu Zheng GNN DiffM AI4TS 73 194 0 08 Oct 2021
Distribution Knowledge Embedding for Graph Pooling Kaixuan Chen Mingli Song Shunyu Liu Na Yu Zunlei Feng Gengshi Han Xiuming Zhang GNN 58 22 0 29 Sep 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 90 87 0 26 Aug 2021
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang 98 332 0 16 Mar 2021
On Explainability of Graph Neural Networks via Subgraph Explorations Hao Yuan Haiyang Yu Jie Wang Kang Li Shuiwang Ji FAtt 78 389 0 09 Feb 2021
Molecular graph generation with Graph Neural Networks P. Bongini Monica Bianchini F. Scarselli GNN 58 142 0 14 Dec 2020
Parameterized Explainer for Graph Neural Network Dongsheng Luo Wei Cheng Dongkuan Xu Wenchao Yu Bo Zong Haifeng Chen Xiang Zhang 133 554 0 09 Nov 2020
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 140 235 0 24 Oct 2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks Minh Nhat Vu My T. Thai BDL 66 336 0 12 Oct 2020
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 47 157 0 12 Oct 2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction Zhong Hao Chengqiang Lu Zheyuan Hu Hongya Wang Zhenya Huang Qi Liu Enhong Chen Cheekong Lee 104 139 0 07 Jul 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks Haonan Yuan Jiliang Tang Xia Hu Shuiwang Ji 73 398 0 03 Jun 2020
Interpretable and Steerable Sequence Learning via Prototypes Yao Ming Panpan Xu Huamin Qu Liu Ren AI4TS 47 141 0 23 Jul 2019
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning Xun Wang Xintong Han Weilin Huang Dengke Dong Matthew R. Scott 72 746 0 14 Apr 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 128 1,314 0 10 Mar 2019
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 246 3,524 0 06 Jun 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 255 6,132 0 24 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 436 20,089 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 462 15,179 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 533 7,431 0 04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 587 28,999 0 09 Sep 2016
Tight Continuous Relaxation of the Balanced $k$ -Cut Problem Syama Sundar Rangapuram Pramod Kaushik Mudrakarta Matthias Hein 102 18 0 24 May 2015