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

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

11 July 2019

Albert-László Barabási

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

16 / 16 papers shown

Title
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 37 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 45 6 0 11 Jun 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
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 19 5 0 26 Jan 2023
On the Ability of Graph Neural Networks to Model Interactions Between Vertices Noam Razin Tom Verbin Nadav Cohen 19 10 0 29 Nov 2022
AutoGEL: An Automated Graph Neural Network with Explicit Link Information Zhiling Wang Shimin Di Lei Chen GNN AI4CE 10 39 0 02 Dec 2021
Leveraging power grid topology in machine learning assisted optimal power flow Thomas Falconer Letif Mones 9 46 0 01 Oct 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 23 113 0 16 Dec 2020
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning Sheng Wan Shirui Pan Jian Yang Chen Gong SSL 6 136 0 15 Sep 2020
How hard is to distinguish graphs with graph neural networks? Andreas Loukas GNN 9 6 0 13 May 2020
Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Lió Petar Velickovic GNN 13 648 0 12 Apr 2020
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 26 5,365 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 229 1,935 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 184 878 0 07 Jun 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016
Benefits of depth in neural networks Matus Telgarsky 123 600 0 14 Feb 2016