Dual-Primal Graph Convolutional Networks

Dual-Primal Graph Convolutional Networks

3 June 2018

Oleksandr Shchur

Aleksandar Bojchevski

Stephan Günnemann

Papers citing "Dual-Primal Graph Convolutional Networks"

15 / 15 papers shown

Title
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 73 37 0 30 May 2022
Thermodynamics-informed graph neural networks Quercus Hernandez Alberto Badías Francisco Chinesta Elías Cueto AI4CE PINN 27 31 0 03 Mar 2022
Multi-modal Entity Alignment in Hyperbolic Space Haojie Guo Jiuyang Tang Weixin Zeng Xiang Zhao Li Liu 15 45 0 07 Jun 2021
GraphSeam: Supervised Graph Learning Framework for Semantic UV Mapping Fatemeh Teimury Bruno Roy Juan Sebastián Casallas David MacDonald Mark J. Coates AI4CE 37 2 0 27 Nov 2020
Primal-Dual Mesh Convolutional Neural Networks Francesco Milano Antonio Loquercio Antoni Rosinol Davide Scaramuzza Luca Carlone 3DPC AI4CE 53 89 0 23 Oct 2020
An Industry Evaluation of Embedding-based Entity Alignment Ziheng Zhang Jiaoyan Chen Xi Chen Hualuo Liu Yuejia Xiang Bo Liu Yefeng Zheng AI4TS 24 39 0 22 Oct 2020
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks M. Balcilar G. Renton Pierre Héroux Benoit Gaüzère Sébastien Adam P. Honeine 21 60 0 26 Mar 2020
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs S. Bandyopadhyay Kishalay Das M. Murty GNN 14 32 0 09 Feb 2020
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks S. Bandyopadhyay Anirban Biswas Narasimha M. Murty Ramasuri Narayanam GNN 27 16 0 11 Dec 2019
Bayesian Graph Convolutional Neural Networks using Node Copying Soumyasundar Pal Florence Regol Mark J. Coates BDL GNN 30 12 0 08 Nov 2019
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 25 563 0 27 May 2019
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark J. Coates Deniz Üstebay GNN BDL 19 227 0 27 Nov 2018
Graph Neural Networks for IceCube Signal Classification Nicholas Choma Federico Monti Lisa Gerhardt T. Palczewski Z. Ronaghi P. Prabhat W. Bhimji M. Bronstein S. Klein Joan Bruna 16 76 0 17 Sep 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 253 3,239 0 24 Nov 2016