Relational Graph Attention Networks

11 April 2019

Papers citing "Relational Graph Attention Networks"

25 / 25 papers shown

Title
Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation Jinkun Han Wei Li Xhipeng Cai Yongqian Li 81 4 0 05 Jan 2025
Exploiting Edge Features in Graph Neural Networks Liyu Gong Qiang Cheng GNN 21 21 0 07 Sep 2018
Attention Models in Graphs: A Survey J. B. Lee Ryan A. Rossi Sungchul Kim Nesreen K. Ahmed Eunyee Koh GNN 49 162 0 20 Jul 2018
Dual-Primal Graph Convolutional Networks Federico Monti Oleksandr Shchur Aleksandar Bojchevski Or Litany Stephan Günnemann M. Bronstein GNN 70 79 0 03 Jun 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs Jiani Zhang Xingjian Shi Junyuan Xie Hao Ma Irwin King Dit-Yan Yeung GNN 95 573 0 20 Mar 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 238 6,102 0 24 Jan 2018
Learning to Represent Programs with Graphs Miltiadis Allamanis Marc Brockschmidt Mahmoud Khademi GNN NAI 106 799 0 01 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 361 19,991 0 30 Oct 2017
Learning to Plan Chemical Syntheses Marwin H. S. Segler Mike Preuss M. Waller 66 1,364 0 14 Aug 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 506 129,831 0 12 Jun 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 158 4,772 0 17 Mar 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 376 1,817 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 590 3,264 0 24 Nov 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 288 4,620 0 10 Nov 2016
Low Data Drug Discovery with One-shot Learning Han Altae-Tran Bharath Ramsundar Aneesh S. Pappu Vijay S. Pande 79 684 0 10 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 501 28,901 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 273 7,622 0 30 Jun 2016
Molecular Graph Convolutions: Moving Beyond Fingerprints S. Kearnes Kevin McCloskey Marc Berndl Vijay S. Pande Patrick F. Riley GNN 125 1,446 0 02 Mar 2016
Diffusion-Convolutional Neural Networks James Atwood Don Towsley GNN DiffM 162 1,248 0 06 Nov 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 170 3,337 0 30 Sep 2015
Deep Convolutional Networks on Graph-Structured Data Mikael Henaff Joan Bruna Yann LeCun GNN 144 1,585 0 16 Jun 2015
Massively Multitask Networks for Drug Discovery Bharath Ramsundar S. Kearnes Patrick F. Riley D. Webster D. Konerding Vijay S. Pande 88 470 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.1K 149,474 0 22 Dec 2014
Long-term Recurrent Convolutional Networks for Visual Recognition and Description Jeff Donahue Lisa Anne Hendricks Marcus Rohrbach Subhashini Venugopalan S. Guadarrama Kate Saenko Trevor Darrell VLM 127 6,046 0 17 Nov 2014
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 155 4,856 0 21 Dec 2013