Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology

11 July 2019

Nima Dehmamy

Albert-László Barabási

Rose Yu

GNN

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Papers citing "Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology"

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Title
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 42 2 0 28 Oct 2024
D-GRIL: End-to-End Topological Learning with 2-parameter Persistence Soham Mukherjee Shreyas N. Samaga Cheng Xin Steve Oudot Tamal K. Dey 53 6 0 11 Jun 2024
Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents Yanfei Dong Lambert Deng Jiazheng Zhang Xiaodong Yu Ting Lin Francesco Gelli Soujanya Poria W. Lee 40 0 0 08 May 2024
PF-GNN: Differentiable particle filtering based approximation of universal graph representations Mohammed Haroon Dupty Yanfei Dong W. Lee 26 13 0 31 Jan 2024
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 40 19 0 16 Aug 2023
Deep fused flow and topology features for botnet detection basing on pretrained GCN Xiaoyuan Meng Lang bo Yanxi Liu Yuhao Yan 24 3 0 20 Jul 2023
PAMI: partition input and aggregate outputs for model interpretation Wei Shi Wentao Zhang Weishi Zheng Ruixuan Wang FAtt 26 3 0 07 Feb 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 37 5 0 26 Jan 2023
On the Ability of Graph Neural Networks to Model Interactions Between Vertices Noam Razin Tom Verbin Nadav Cohen 23 10 0 29 Nov 2022
Provably expressive temporal graph networks Amauri Souza Diego Mesquita Samuel Kaski Vikas K. Garg 89 54 0 29 Sep 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 33 68 0 16 Apr 2022
SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters Albert Mosella-Montoro Javier Ruiz-Hidalgo 3DH 39 12 0 09 Mar 2022
Generalizing Aggregation Functions in GNNs:High-Capacity GNNs via Nonlinear Neighborhood Aggregators Beibei Wang Bo Jiang AI4CE 11 2 0 18 Feb 2022
Node-wise Hardware Trojan Detection Based on Graph Learning Kento Hasegawa Kazuki Yamashita Seira Hidano Kazuhide Fukushima Kazuo Hashimoto N. Togawa 25 24 0 04 Dec 2021
AutoGEL: An Automated Graph Neural Network with Explicit Link Information Zhiling Wang Shimin Di Lei Chen GNN AI4CE 20 39 0 02 Dec 2021
Graph Pointer Neural Networks Tian-bao Yang Yujing Wang Z. Yue Yaming Yang Yunhai Tong Jing Bai 24 34 0 03 Oct 2021
Leveraging power grid topology in machine learning assisted optimal power flow Thomas Falconer Letif Mones 9 47 0 01 Oct 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 37 42 0 24 Aug 2021
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction Fang Zheng Le Wang Sanping Zhou Wei Tang Zhenxing Niu N. Zheng G. Hua AI4TS 19 33 0 31 Jul 2021
Predicting cognitive scores with graph neural networks through sample selection learning M. Hanik Mehmet Arif Demirtas Mohammed Amine Gharsallaoui I. Rekik 16 13 0 17 Jun 2021
Breaking the Limits of Message Passing Graph Neural Networks M. Balcilar Pierre Héroux Benoit Gaüzère Pascal Vasseur Sébastien Adam P. Honeine 21 121 0 08 Jun 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development Thomas Gaudelet Ben Day Arian R. Jamasb Jyothish Soman Cristian Regep ... Jian Tang D. Roblin Tom L. Blundell M. Bronstein J. Taylor-King AI4CE 27 36 0 09 Dec 2020
Multi-Scale 2D Temporal Adjacent Networks for Moment Localization with Natural Language Songyang Zhang Houwen Peng Jianlong Fu Yijuan Lu Jiebo Luo 24 51 0 04 Dec 2020
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning Sheng Wan Shirui Pan Jian Yang Chen Gong SSL 22 137 0 15 Sep 2020
Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network Haotian Li Huan Wei Yong Wang Yangqiu Song Huamin Qu AI4Ed 49 30 0 04 Aug 2020
How hard is to distinguish graphs with graph neural networks? Andreas Loukas GNN 25 6 0 13 May 2020
Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Lió Petar Velickovic GNN 27 651 0 12 Apr 2020
Universal Function Approximation on Graphs Rickard Brüel-Gabrielsson 32 6 0 14 Mar 2020
Generalization and Representational Limits of Graph Neural Networks Vikas K. Garg Stefanie Jegelka Tommi Jaakkola GNN 26 304 0 14 Feb 2020
Continuous Graph Neural Networks Louis-Pascal Xhonneux Meng Qu Jian Tang GNN 27 149 0 02 Dec 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 28 5,400 0 20 Dec 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 270 1,944 0 09 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 206 885 0 07 Jun 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016
Benefits of depth in neural networks Matus Telgarsky 148 602 0 14 Feb 2016