Dynamic Graph Convolutional Networks

20 April 2017

Papers citing "Dynamic Graph Convolutional Networks"

50 / 102 papers shown

Title
Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework Lu Mi Tianxing He Core Francisco Park Hao Wang Yue Wang Nir Shavit 31 10 0 13 Oct 2021
Efficient Scaling of Dynamic Graph Neural Networks Venkatesan T. Chakaravarthy Shivmaran S. Pandian S. Raje Yogish Sabharwal Toyotaro Suzumura Shashanka Ubaru GNN 39 22 0 16 Sep 2021
Representing Shape Collections with Alignment-Aware Linear Models Romain Loiseau Tom Monnier Mathieu Aubry Loïc Landrieu 3DPC 3DV 32 8 0 03 Sep 2021
Temporal Graph Network Embedding with Causal Anonymous Walks Representations Ilya Makarov Andrey V. Savchenko Arseny Korovko Leonid Sherstyuk Nikita Severin Aleksandr Mikheev Dmitrii Babaev 24 6 0 19 Aug 2021
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks Feng Sun Ajith Kumar Guanci Yang Qikui Zhu Yiyun Zhang Ansi Zhang Dhruv Makwana SSL GNN 36 0 0 17 Aug 2021
Temporal Graph Signal Decomposition Maxwell McNeil Lin Zhang Petko Bogdanov 14 15 0 25 Jun 2021
Neural Predicting Higher-order Patterns in Temporal Networks Yunyu Liu Jianzhu Ma Pan Li 29 29 0 10 Jun 2021
Learning Representation over Dynamic Graph using Aggregation-Diffusion Mechanism Mingyi Liu Zhiying Tu Xiaofei Xu Zhongjie Wang GNN DiffM 21 1 0 03 Jun 2021
Graph Learning: A Survey Feng Xia Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 24 342 0 03 May 2021
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network Zeyu Cui Zekun Li Shu Wu Xiaoyu Zhang Qiang Liu Liang Wang Mengmeng Ai GNN 4 12 0 07 Apr 2021
SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences Shun-cheng Wu Johanna Wald Keisuke Tateno Nassir Navab Federico Tombari 3DPC 22 154 0 27 Mar 2021
On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions Jianfei Gao Bruno Ribeiro 29 11 0 12 Mar 2021
Graph-Time Convolutional Neural Networks Elvin Isufi Gabriele Mazzola GNN AI4TS 24 14 0 02 Mar 2021
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series Alasdair Tran A. Mathews Cheng Soon Ong Lexing Xie AI4TS AI4CE 21 12 0 15 Feb 2021
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks Yanbang Wang Yen-Yu Chang Yunyu Liu J. Leskovec Pan Li CML AI4TS 17 228 0 15 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
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding Runzhong Wang Tianqi Zhang Tianshu Yu Junchi Yan Xiaokang Yang 21 40 0 30 Nov 2020
AutoGraph: Automated Graph Neural Network Yaoman Li Irwin King GNN 27 43 0 23 Nov 2020
Graph-Based Neural Network Models with Multiple Self-Supervised Auxiliary Tasks Franco Manessi A. Rozza SSL 11 40 0 14 Nov 2020
Action Sequence Augmentation for Early Graph-based Anomaly Detection Tong Zhao Bo Ni Wenhao Yu Zhichun Guo Neil Shah Meng Jiang 45 19 0 20 Oct 2020
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion Jiapeng Wu Mengyao Cao Jackie C.K. Cheung William L. Hamilton 10 143 0 07 Oct 2020
Federated Dynamic GNN with Secure Aggregation Meng Jiang Taeho Jung Ryan Karl Tong Zhao FedML 16 31 0 15 Sep 2020
Stochastic Graph Recurrent Neural Network Tijin Yan Hongwei Zhang Zirui Li Yuanqing Xia GNN BDL 14 5 0 01 Sep 2020
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs Houxiang Fan Binghui Wang Pan Zhou Ang Li Meng Pang Zichuan Xu Cai Fu H. Li Yiran Chen AAML MLAU 14 16 0 01 Sep 2020
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market Hao Peng Jianxin Li Z. Wang Renyu Yang Mingzhe Liu Mingming Zhang Philip S. Yu Lifang He 3DV 25 26 0 12 Aug 2020
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs Ziyu Zhao Zhihan Zhang Yihong Ma Tong Zhao Tianwen Jiang Nitesh V. Chawla Meng Jiang 24 8 0 25 Jul 2020
Lifelong Learning of Graph Neural Networks for Open-World Node Classification Lukas Galke Benedikt Franke Tobias Zielke A. Scherp GNN AI4CE 21 36 0 25 Jun 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs Emanuele Rossi B. Chamberlain Fabrizio Frasca D. Eynard Federico Monti M. Bronstein AI4CE 19 629 0 18 Jun 2020
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors Ziyu Zhao Meng Jiang Munira Syed Oliver Conway Vishal Juneja Sriram Subramanian Nitesh V. Chawla AI4TS 6 38 0 11 Jun 2020
Deep graph learning for semi-supervised classification Guangfeng Lin Xiao-bing Kang Kaiyang Liao Fan Zhao Yajun Chen GNN 17 32 0 29 May 2020
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey Joakim Skarding Bogdan Gabrys Katarzyna Musial AI4CE 22 226 0 13 May 2020
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification Negar Heidari Alexandros Iosifidis GNN 21 14 0 27 Mar 2020
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact Fan Zhou Xovee Xu Ce Li Goce Trajcevski Ting Zhong Kunpeng Zhang 13 16 0 26 Mar 2020
A Survey of Adversarial Learning on Graphs Liang Chen Jintang Li Jiaying Peng Tao Xie Zengxu Cao Kun Xu Xiangnan He Zibin Zheng Bingzhe Wu AAML 13 83 0 10 Mar 2020
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs Changmin Wu Giannis Nikolentzos Michalis Vazirgiannis GNN 21 10 0 02 Mar 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 51 1,050 0 21 Feb 2020
Deep learning reveals hidden interactions in complex systems Seungwoong Ha Hawoong Jeong GNN 38 4 0 03 Jan 2020
Deep Graph Similarity Learning: A Survey Guixiang Ma Nesreen Ahmed Theodore L. Willke Philip S. Yu GNN 21 77 0 25 Dec 2019
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis Lu Bai Lixin Cui Lixiang Xu Yue Wang Zhihong Zhang Edwin R. Hancock AI4TS 12 34 0 21 Oct 2019
Dynamic Graph Convolutional Networks Using the Tensor M-Product Osman Asif Malik Shashanka Ubaru L. Horesh M. Kilmer H. Avron 31 3 0 16 Oct 2019
Dynamic Graph Message Passing Networks Li Zhang Dan Xu Anurag Arnab Philip Torr GNN 21 138 0 19 Aug 2019
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 23 445 0 27 May 2019
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification Lu Bai Lixin Cui Yuhang Jiao Luca Rossi Edwin R. Hancock GNN 15 58 0 06 Apr 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs A. Pareja Giacomo Domeniconi Jie Chen Tengfei Ma Toyotaro Suzumura H. Kanezashi Tim Kaler Tao B. Schardl Charles E. Leisersen GNN 52 1,040 0 26 Feb 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 5,400 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 39 1,321 0 11 Dec 2018
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning Stephen Bonner John Brennan Ibad Kureshi Georgios Theodoropoulos A. Mcgough B. Obara OOD 30 15 0 20 Nov 2018
Streaming Network Embedding through Local Actions Xi Liu Ping-Chun Hsieh N. Duffield Rui Chen Muhe Xie Xidao Wen GNN 14 6 0 14 Nov 2018
$Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks$ Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks Max Schwarzer Bryce Rogan Yadong Ruan Zhengming Song Diana Lee ... V. Chau B. Moore E. Rougier Hari S. Viswanathan G. Srinivasan AI4CE 8 70 0 14 Oct 2018
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors Haowen Deng Tolga Birdal Slobodan Ilic 3DPC 25 386 0 30 Aug 2018