Edge Attention-based Multi-Relational Graph Convolutional Networks

14 February 2018

Papers citing "Edge Attention-based Multi-Relational Graph Convolutional Networks"

14 / 14 papers shown

Title
InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems Fang Wu Huiling Qin Siyuan Li Stan Z. Li Xianyuan Zhan Jinbo Xu 18 5 0 08 Apr 2023
Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses Lars Odegaard Bentsen N. Warakagoda R. Stenbro P. Engelstad 16 13 0 10 Jan 2022
A Spatial-temporal Graph Deep Learning Model for Urban Flood Nowcasting Leveraging Heterogeneous Community Features H. Farahmand Yuanchang Xu Ali Mostafavi AI4CE 24 37 0 09 Nov 2021
Relative Molecule Self-Attention Transformer Lukasz Maziarka Dawid Majchrowski Tomasz Danel Piotr Gaiñski Jacek Tabor Igor T. Podolak Pawel M. Morkisz Stanislaw Jastrzebski MedIm 32 34 0 12 Oct 2021
Learning Attributed Graph Representations with Communicative Message Passing Transformer Jianwen Chen Shuangjia Zheng Ying Song Jiahua Rao Yuedong Yang 22 46 0 19 Jul 2021
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification Julian Busch Anton Kocheturov Volker Tresp Thomas Seidl 17 49 0 05 Mar 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
Drug discovery with explainable artificial intelligence José Jiménez-Luna F. Grisoni G. Schneider 25 625 0 01 Jul 2020
Molecule Attention Transformer Lukasz Maziarka Tomasz Danel Slawomir Mucha Krzysztof Rataj Jacek Tabor Stanislaw Jastrzebski 11 167 0 19 Feb 2020
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze Y. Chen Congcong Liu Ming-Yu Liu Bertram E. Shi GNN HAI 19 117 0 23 Sep 2019
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective Chengqiang Lu Qi Liu Chao Wang Zhenya Huang Peize Lin Lixin He AI4CE 11 191 0 25 Jun 2019
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 169 1,775 0 02 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 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 244 3,236 0 24 Nov 2016