Graph Neural Networks: A Review of Methods and Applications

20 December 2018

Jie Zhou

Zhengyan Zhang

Maosong Sun

Papers citing "Graph Neural Networks: A Review of Methods and Applications"

31 / 81 papers shown

Title
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 117 78 0 01 Oct 2021
Skeleton Split Strategies for Spatial Temporal Graph Convolution Networks Motasem S. Alsawadi Miguel Rio 3DH GNN 6 7 0 03 Aug 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 30 94 0 01 Jul 2021
DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science Mufei Li Jinjing Zhou Jiajing Hu Wenxuan Fan Yangkang Zhang Yaxin Gu George Karypis GNN AI4CE 14 155 0 27 Jun 2021
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems Mengyuan Lee Guanding Yu H. Dai GNN 25 39 0 19 Apr 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Mingyu Yan Lei Deng Guoqi Li Xiaochun Ye Dongrui Fan GNN 21 95 0 10 Mar 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 28 344 0 18 Feb 2021
Infant Cry Classification with Graph Convolutional Networks Chunyan Ji Ming Chen Bin Li Yi Pan 9 18 0 31 Jan 2021
The Emerging Trends of Multi-Label Learning Weiwei Liu Haobo Wang Xiaobo Shen Ivor W. Tsang 17 244 0 23 Nov 2020
Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery Yonghao Long J. Wu Bo Lu Yueming Jin Mathias Unberath Yunhui Liu Pheng Ann Heng Qi Dou 4 39 0 03 Nov 2020
GraphMDN: Leveraging graph structure and deep learning to solve inverse problems Tuomas P. Oikarinen Daniel C. Hannah Sohrob Kazerounian BDL GNN 10 29 0 26 Oct 2020
Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning C. de Souza Rhys Newbury Akansel Cosgun P. Castillo B. Vidolov Dana Kulić 26 87 0 16 Oct 2020
Optimization of Graph Neural Networks with Natural Gradient Descent M. Izadi Yihao Fang R. Stevenson Lizhen Lin GNN 9 41 0 21 Aug 2020
A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis Maria Hügle Gabriel Kalweit T. Huegle Joschka Boedecker BDL 11 19 0 14 Aug 2020
Deep Learning in Protein Structural Modeling and Design Wenhao Gao S. Mahajan Jeremias Sulam Jeffrey J. Gray 6 159 0 16 Jul 2020
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery Mobarakol Islam Seenivasan Lalithkumar Lim Chwee Ming Hongliang Ren 12 38 0 07 Jul 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 167 1,157 0 03 Mar 2020
Generalized Embedding Machines for Recommender Systems Enneng Yang Xin Xin Li Shen G. Guo 11 2 0 16 Feb 2020
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding Chenhui Deng Zhiqiang Zhao Yongyu Wang Zhiru Zhang Zhuo Feng 22 105 0 06 Oct 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 87 254 0 29 Sep 2019
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis Daiki Matsunaga Toyotaro Suzumura Toshihiro Takahashi AIFin 19 80 0 24 Sep 2019
Reasoning Over Semantic-Level Graph for Fact Checking Wanjun Zhong Jingjing Xu Duyu Tang Zenan Xu Nan Duan M. Zhou Jiahai Wang Jian Yin HILM GNN 167 163 0 09 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 177 665 0 03 Sep 2019
Tiered Latent Representations and Latent Spaces for Molecular Graphs Daniel T. Chang AI4CE BDL 10 7 0 21 Mar 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 217 1,726 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 179 878 0 07 Jun 2018
Iterative Visual Reasoning Beyond Convolutions Xinlei Chen Li-Jia Li Li Fei-Fei Abhinav Gupta LRM GNN 24 210 0 29 Mar 2018
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 226 425 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 252 1,394 0 01 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 231 1,801 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 228 3,202 0 24 Nov 2016