Deep Learning on Graphs: A Survey

11 December 2018

Peng Cui

Papers citing "Deep Learning on Graphs: A Survey"

46 / 296 papers shown

Title
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Mingyu Yan Lei Deng Guoqi Li Xiaochun Ye Dongrui Fan GNN 21 100 0 10 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 35 108 0 08 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Feng Xia GNN 17 28 0 07 Mar 2021
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook Eren Kurshan Hongda Shen GNN 19 32 0 02 Mar 2021
Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook Eren Kurshan Honda Shen Haojie Yu GNN FaML 30 26 0 02 Mar 2021
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data Mahsa Ghorbani Anees Kazi M. Baghshah Hamid R. Rabiee Nassir Navab 19 72 0 27 Feb 2021
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series Xing Han S. Dasgupta Joydeep Ghosh AI4TS 23 34 0 25 Feb 2021
Link Prediction with Persistent Homology: An Interactive View Zuoyu Yan Tengfei Ma Liangcai Gao Zhi Tang Chao Chen 10 46 0 20 Feb 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series Chao Shang Jie Chen J. Bi CML BDL AI4TS 99 226 0 18 Jan 2021
Symmetry-adapted graph neural networks for constructing molecular dynamics force fields Zun Wang Chong Wang Sibo Zhao Shiqiao Du Yong Xu B. Gu W. Duan AI4CE 21 14 0 08 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 91 558 0 04 Jan 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
I-GCN: Robust Graph Convolutional Network via Influence Mechanism Haoxi Zhan Xiaobing Pei GNN AAML 19 1 0 11 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development Thomas Gaudelet Ben Day Arian R. Jamasb Jyothish Soman Cristian Regep ... Jian Tang D. Roblin Tom L. Blundell M. Bronstein J. Taylor-King AI4CE 19 36 0 09 Dec 2020
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources Xiao Wang Deyu Bo C. Shi Shaohua Fan Yanfang Ye Philip S. Yu AI4TS 30 294 0 30 Nov 2020
Learning to Drop: Robust Graph Neural Network via Topological Denoising Dongsheng Luo Wei Cheng Wenchao Yu Bo Zong Jingchao Ni Haifeng Chen Xiang Zhang OOD 14 257 0 13 Nov 2020
PointManifold: Using Manifold Learning for Point Cloud Classification Dinghao Yang Wei Gao 3DPC 21 4 0 14 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 27 225 0 30 Sep 2020
Multi-View Brain HyperConnectome AutoEncoder For Brain State Classification Alin Banka Inis Buzi I. Rekik 20 11 0 24 Sep 2020
Implicit Graph Neural Networks Fangda Gu Heng Chang Wenwu Zhu Somayeh Sojoudi L. Ghaoui GNN 18 147 0 14 Sep 2020
Hierarchical Message-Passing Graph Neural Networks Zhiqiang Zhong Cheng-Te Li Jun Pang 17 46 0 08 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai Shengjie Luo Keyulu Xu Di He Tie-Yan Liu Liwei Wang GNN 16 158 0 07 Sep 2020
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy Wenchong He Arpan Man Sainju Zhe Jiang Da Yan 8 9 0 25 Aug 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 35 146 0 13 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 22 480 0 05 Jul 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 16 287 0 15 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng-Long Jiang Neil Shah GNN 21 407 0 11 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 13 1,271 0 10 Jun 2020
Non-Local Graph Neural Networks Meng Liu Zhengyang Wang Shuiwang Ji 15 161 0 29 May 2020
Interpretable and Efficient Heterogeneous Graph Convolutional Network Yaming Yang Ziyu Guan Jianxin Li Wei Zhao Jiangtao Cui Quan Wang GNN 19 171 0 27 May 2020
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities Shuhan Yuan Xintao Wu AAML 17 156 0 25 May 2020
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification Ning Ma Jiajun Bu Jieyu Yang Zhen Zhang Chengwei Yao Zhi Yu Sheng Zhou Xifeng Yan 21 5 0 18 Mar 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu Aggarwal Chang-Tien Lu 24 45 0 27 Feb 2020
Memory-Based Graph Networks Amir Hosein Khas Ahmadi Kaveh Hassani Parsa Moradi Leo Lee Q. Morris GNN 23 90 0 21 Feb 2020
HyGCN: A GCN Accelerator with Hybrid Architecture Mingyu Yan Lei Deng Xing Hu Ling Liang Yujing Feng Xiaochun Ye Zhimin Zhang Dongrui Fan Yuan Xie GNN 22 287 0 07 Jan 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica A. Micheli Marco Podda AI4CE GNN 39 276 0 29 Dec 2019
Independence Promoted Graph Disentangled Networks Yanbei Liu Xiao Wang Shu Wu Zhitao Xiao 19 94 0 26 Nov 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 194 745 0 03 Sep 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 23 215 0 20 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 150 8,350 0 03 Jan 2019
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 28 5,397 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 267 1,944 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 200 885 0 07 Jun 2018
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 278 1,400 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 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 241 3,236 0 24 Nov 2016