Machine Learning on Dynamic Graphs: A Survey on Applications

16 January 2024

Papers citing "Machine Learning on Dynamic Graphs: A Survey on Applications"

47 / 47 papers shown

Title
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection Chaoyue Ding Shiliang Sun Jing Zhao AI4TS 61 148 0 17 Oct 2023
Temporal Graph Benchmark for Machine Learning on Temporal Graphs Shenyang Huang Farimah Poursafaei Jacob Danovitch Matthias Fey Weihua Hu Emanuele Rossi J. Leskovec Michael M. Bronstein Guillaume Rabusseau Reihaneh Rabbany 69 91 0 03 Jul 2023
ROLAND: Graph Learning Framework for Dynamic Graphs Jiaxuan You Tianyu Du J. Leskovec AI4CE 49 172 0 15 Aug 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications Xingbo Fu Binchi Zhang Yushun Dong Chen Chen Jundong Li FedML OOD AI4CE 90 36 0 24 Jul 2022
Transformer for Graphs: An Overview from Architecture Perspective Erxue Min Runfa Chen Yatao Bian Tingyang Xu Kangfei Zhao Wenbing Huang P. Zhao Junzhou Huang Sophia Ananiadou Yu Rong 64 142 0 17 Feb 2022
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences Meng Liu Yong Liu AI4TS 110 37 0 01 Oct 2021
Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks Ismail Alarab S. Prakoonwit AAML 92 14 0 15 Jul 2021
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention Byung-Hoon Kim Jong Chul Ye Jae-Jin Kim 81 130 0 27 May 2021
Machine learning and deep learning Christian Janiesch Patrick Zschech Kai Heinrich 34 1,200 0 12 Apr 2021
An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform Zishen Wan Yuyang Zhang A. Raychowdhury Bo Yu Haibin Ling Shaoshan Liu 77 17 0 01 Apr 2021
Dynamic Network Embedding Survey Guotong Xue Ming Zhong Jianxin Li Jia Chen C. Zhai Ruochen Kong AI4TS 41 166 0 29 Mar 2021
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning Yunbo Wang Haixu Wu Jianjin Zhang Zhifeng Gao Jianmin Wang Philip S. Yu Mingsheng Long 68 390 0 17 Mar 2021
TrackFormer: Multi-Object Tracking with Transformers Tim Meinhardt A. Kirillov Laura Leal-Taixe Christoph Feichtenhofer VOT 255 761 0 07 Jan 2021
A Survey on Embedding Dynamic Graphs Claudio D. T. Barros Matheus R. F. Mendonça A. Vieira A. Ziviani AI4TS AI4CE 54 132 0 04 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 163 586 0 04 Jan 2021
TransTrack: Multiple Object Tracking with Transformer Pei Sun Jinkun Cao Yi Jiang Rufeng Zhang Enze Xie Zehuan Yuan Changhu Wang Ping Luo ViT VOT 304 576 0 31 Dec 2020
Understanding graph embedding methods and their applications Mengjia Xu 38 133 0 15 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 69 305 0 30 Nov 2020
Random Walks: A Review of Algorithms and Applications Feng Xia Jiaying Liu Hansong Nie Yonghao Fu Liangtian Wan X. Kong 48 188 0 09 Aug 2020
Deep Learning for Anomaly Detection: A Review Guansong Pang Chunhua Shen LongBing Cao Anton Van Den Hengel 144 920 0 06 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 102 1,481 0 04 Jul 2020
Space-Time Correspondence as a Contrastive Random Walk Allan Jabri Andrew Owens Alexei A. Efros SSL OT 73 302 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 130 643 0 18 Jun 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 85 289 0 07 May 2020
MOT20: A benchmark for multi object tracking in crowded scenes Patrick Dendorfer Hamid Rezatofighi Anton Milan Javen Qinfeng Shi Daniel Cremers Ian Reid Stefan Roth Konrad Schindler Laura Leal-Taixé VOT 232 648 0 19 Mar 2020
Time-Varying Graph Learning with Constraints on Graph Temporal Variation Koki Yamada Yuichi Tanaka Antonio Ortega AI4TS 56 43 0 10 Jan 2020
Dynamic Joint Variational Graph Autoencoders Sedigheh Mahdavi Shima Khoshraftar Aijun An BDL 41 24 0 04 Oct 2019
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics Mark Weber Giacomo Domeniconi Jie Chen D. Weidele Claudio Bellei Tom Robinson C. E. Leiserson 60 326 0 31 Jul 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 92 455 0 27 May 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 111 1,064 0 26 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 194 3,168 0 19 Feb 2019
GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks Kai Lei Meng Qin Bo Bai Gong Zhang Min Yang 38 168 0 26 Jan 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 130 1,491 0 10 Jan 2019
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 126 1,254 0 30 Nov 2018
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning Palash Goyal Sujit Rokka Chhetri A. Canedo 68 401 0 07 Sep 2018
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding K. Hundman V. Constantinou Christopher Laporte Ian Colwell T. Söderström AI4TS 89 1,246 0 13 Feb 2018
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 95 1,790 0 22 Sep 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 116 1,946 0 19 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 111 2,805 0 19 Aug 2017
Time Series Anomaly Detection; Detection of anomalous drops with limited features and sparse examples in noisy highly periodic data Dominique T. Shipmon Jason M. Gurevitch Paolo Piselli Stephen T. Edwards AI4TS 39 131 0 11 Aug 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 446 15,179 0 07 Jun 2017
Graph Embedding Techniques, Applications, and Performance: A Survey Palash Goyal Emilio Ferrara GNN AI4TS 115 1,724 0 08 May 2017
Dynamic Graph Convolutional Networks Franco Manessi A. Rozza M. Manzo GNN 79 373 0 20 Apr 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 149 1,530 0 25 Jan 2017
MOT16: A Benchmark for Multi-Object Tracking Anton Milan Laura Leal-Taixe Ian Reid Stefan Roth Konrad Schindler VOT 139 1,796 0 02 Mar 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 614 9,290 0 06 Jun 2015
Multiple Object Tracking: A Literature Review Wenhan Luo Junliang Xing Anton Milan Xiaoqin Zhang Wei Liu Tae-Kyun Kim VOT 95 808 0 26 Sep 2014