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KerGNNs: Interpretable Graph Neural Networks with Graph Kernels

3 January 2022

Leandros Tassiulas

Papers citing "KerGNNs: Interpretable Graph Neural Networks with Graph Kernels"

35 / 35 papers shown

Title
Abstract, Align, Predict: Zero-Shot Stance Detection via Cognitive Inductive Reasoning Jun Ma Fuqiang Niu Dong Li Jinzhou Cao Genan Dai Bowen Zhang LRM 19 0 0 16 Jun 2025
Prediction via Shapley Value Regression Amr Alkhatib Roman Bresson Henrik Bostrom Michalis Vazirgiannis TDI FAtt 122 0 0 07 May 2025
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks Jie Yang Yuwen Wang Kaixuan Chen Tongya Zheng Yihe Zhou Zhenbang Xiao Ji Cao Mingli Song Shixuan Liu AI4CE 114 1 0 01 May 2025
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Mao Wang Tao Wu Xingping Xian Shaojie Qiao Weina Niu Canyixing Cui 134 0 0 23 Apr 2025
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 143 2 0 14 Feb 2025
Personalized Layer Selection for Graph Neural Networks Kartik Sharma Vineeth Rakesh Mohan Yingtong Dou Srijan Kumar Mahashweta Das 153 0 0 24 Jan 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 208 4 0 28 Oct 2024
Interpretable Graph Neural Networks for Heterogeneous Tabular Data Amr Alkhatib Henrik Bostrom LMTD 77 1 0 14 Aug 2024
Urban Region Pre-training and Prompting: A Graph-based Approach Jiahui Jin Yifan Song Dong Kan Haojia Zhu Xiangguo Sun Zhicheng Li Xigang Sun Jinghui Zhang AI4TS AI4CE 138 4 0 12 Aug 2024
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks Yuwen Wang Shunyu Liu Tongya Zheng Kaixuan Chen Mingli Song AI4CE 90 5 0 02 Jul 2024
SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs Lanting Fang Yulian Yang Kai Wang Shanshan Feng Kaiyu Feng Jie Gui Shuliang Wang Yew-Soon Ong 102 1 0 29 May 2024
Explaining Graph Neural Networks via Structure-aware Interaction Index Ngoc H. Bui Hieu Trung Nguyen Viet Anh Nguyen Rex Ying FAtt 76 4 0 23 May 2024
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks Zhehan Zhao Lu Bai Lixin Cui Ming Li Yue Wang Lixiang Xu Edwin R. Hancock 95 3 0 16 May 2024
Learning Attributed Graphlets: Predictive Graph Mining by Graphlets with Trainable Attribute Tajima Shinji Ren Sugihara Ryota Kitahara Masayuki Karasuyama 49 1 0 10 Feb 2024
Descriptive Kernel Convolution Network with Improved Random Walk Kernel Meng-Chieh Lee Lingxiao Zhao Leman Akoglu 68 3 0 08 Feb 2024
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection Alessandro Bicciato Luca Cosmo G. Minello Luca Rossi A. Torsello 62 2 0 17 Jan 2024
A Causal Disentangled Multi-Granularity Graph Classification Method Yuan Li Li Liu Penggang Chen Youmin Zhang Guoyin Wang 39 1 0 25 Oct 2023
Self-supervision meets kernel graph neural models: From architecture to augmentations Jiawang Dan Ruofan Wu Yunpeng Liu Baokun Wang Changhua Meng ... Tianyi Zhang Ningtao Wang Xin Fu Qi Li Weiqiang Wang SSL 78 1 0 17 Oct 2023
Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings Gregory Scafarto Madalina Ciortan Simon Tihon Quentin Ferre 51 2 0 28 Sep 2023
How Faithful are Self-Explainable GNNs? Marc Christiansen Lea Villadsen Zhiqiang Zhong Stefano Teso Davide Mottin 55 3 0 29 Aug 2023
Interpretable Graph Neural Networks for Tabular Data Amr Alkhatib Sofiane Ennadir Henrik Bostrom Michalis Vazirgiannis LMTD 102 5 0 17 Aug 2023
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks Jiaqi Han Wen-bing Huang Yu Rong Tingyang Xu Gang Hua Junzhou Huang 88 6 0 21 Jun 2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification Nan Yin Libin Shen Mengzhu Wang L. Lan Zeyu Ma C. L. Philip Chen Xiansheng Hua Xiao Luo 104 43 0 08 Jun 2023
A Survey on Explainability of Graph Neural Networks Jaykumar Kakkad Jaspal Jannu Kartik Sharma Charu C. Aggarwal Sourav Medya 66 28 0 02 Jun 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 94 29 0 28 Mar 2023
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification Sonny Achten F. Tonin Panagiotis Patrinos Johan A. K. Suykens 94 4 0 31 Jan 2023
Kernel-based Substructure Exploration for Next POI Recommendation Wei Ju Yifang Qin Ziyue Qiao Xiao Luo Yifan Wang Yanjie Fu Ming Zhang 98 27 0 08 Oct 2022
L2XGNN: Learning to Explain Graph Neural Networks G. Serra Mathias Niepert 81 7 0 28 Sep 2022
Motif-based Graph Representation Learning with Application to Chemical Molecules Yifei Wang Shiyang Chen Guobin Chen Ethan Shurberg Hang Liu Pengyu Hong GNN 64 14 0 09 Aug 2022
Tuning the Geometry of Graph Neural Networks Sowon Jeong Claire Donnat AI4CE 78 1 0 12 Jul 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 139 110 0 16 May 2022
GRAPHYP: A Scientific Knowledge Graph with Manifold Subnetworks of Communities. Detection of Scholarly Disputes in Adversarial Information Routes Renaud Fabre Otmane Azeroual P. Bellot Joachim Schöpfel D. Egret 80 1 0 03 May 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 121 31 0 23 Mar 2022
Incorporating Heterophily into Graph Neural Networks for Graph Classification Jiayi Yang Sourav Medya Wei Ye 83 5 0 15 Mar 2022
Graph Kernel Neural Networks Luca Cosmo G. Minello Alessandro Bicciato M. Bronstein Emanuele Rodolà Luca Rossi A. Torsello GNN 70 22 0 14 Dec 2021