Temporal Graph Networks for Deep Learning on Dynamic Graphs

18 June 2020

Papers citing "Temporal Graph Networks for Deep Learning on Dynamic Graphs"

40 / 90 papers shown

Title
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs Linhao Luo Reza Haffari Shirui Pan AI4TS 28 30 0 15 Nov 2022
Influencer Detection with Dynamic Graph Neural Networks Elena Tiukhova Emiliano Penaloza María Óskarsdóttir Hernán García Alejandro Correa-Bahnsen Bart Baesens M. Snoeck Cristián Bravo GNN 28 5 0 15 Nov 2022
Modular Flows: Differential Molecular Generation Yogesh Verma Samuel Kaski Markus Heinonen Vikas K. Garg 29 14 0 12 Oct 2022
Trust in Motion: Capturing Trust Ascendancy in Open-Source Projects using Hybrid AI H. Sánchez B. Hitaj 27 1 0 06 Oct 2022
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation Zehong Wang Qi Li Donghua Yu 27 3 0 03 Oct 2022
Provably expressive temporal graph networks Amauri Souza Diego Mesquita Samuel Kaski Vikas K. Garg 89 54 0 29 Sep 2022
Reasoning over Multi-view Knowledge Graphs Zhaohan Xi Ren Pang Changjiang Li Tianyu Du S. Ji Fenglong Ma Ting Wang 32 4 0 27 Sep 2022
Rethinking The Memory Staleness Problem In Dynamics GNN Mor Ventura Hadas Ben-Atya Dekel Brav 10 0 0 06 Sep 2022
Representing Social Networks as Dynamic Heterogeneous Graphs Negar Maleki Balaji Padmanabhan K. Dutta 11 2 0 02 Sep 2022
A Survey on Temporal Graph Representation Learning and Generative Modeling Shubham Gupta Srikanta J. Bedathur AI4TS AI4CE 24 6 0 25 Aug 2022
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks Jintang Li Zhouxin Yu Zulun Zhu Liang Chen Qi Yu Zibin Zheng Sheng Tian Ruofan Wu Changhua Meng GNN 16 30 0 15 Aug 2022
Representation Learning in Continuous-Time Dynamic Signed Networks Kartik Sharma Mohit Raghavendra Y. Lee M. Anandkumar Srijan Kumar 32 8 0 07 Jul 2022
Recommender Transformers with Behavior Pathways Zhiyu Yao Xinyang Chen Sinan Wang Qinyan Dai Yumeng Li Tanchao Zhu Mingsheng Long 11 2 0 13 Jun 2022
Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction Ruixing Zhang Liangzhe Han Boyi Liu Jiayuan Zeng Leilei Sun AI4TS 22 13 0 29 May 2022
Scalable algorithms for physics-informed neural and graph networks K. Shukla Mengjia Xu N. Trask George Karniadakis PINN AI4CE 67 40 0 16 May 2022
Graph Neural Networks Designed for Different Graph Types: A Survey J. M. Thomas Alice Moallemy-Oureh Silvia Beddar-Wiesing Clara Holzhuter 23 29 0 06 Apr 2022
Graph similarity learning for change-point detection in dynamic networks Déborah Sulem Henry Kenlay Mihai Cucuringu Xiaowen Dong 32 14 0 29 Mar 2022
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series J. Clarkson Mihai Cucuringu Andrew Elliott G. Reinert AI4TS 21 2 0 28 Mar 2022
TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs Hongkuan Zhou Da Zheng Israt Nisa Vasileios Ioannidis Xiang Song George Karypis AI4CE 31 86 0 28 Mar 2022
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey Yuecai Zhu Fuyuan Lyu Chengming Hu X. Chen Xue Liu AI4TS AI4CE 21 20 0 20 Mar 2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA Hongkuan Zhou Bingyi Zhang R. Kannan Viktor Prasanna Carl E. Busart GNN 24 23 0 10 Mar 2022
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs Namyong Park Fuchen Liu Purvanshi Mehta D. Cristofor Christos Faloutsos Yuxiao Dong 16 86 0 15 Feb 2022
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast Linpu Jiang Ke-Jia Chen Jingqiang Chen SSL 21 10 0 16 Dec 2021
Noether Networks: Meta-Learning Useful Conserved Quantities Ferran Alet Dylan D. Doblar Allan Zhou J. Tenenbaum Kenji Kawaguchi Chelsea Finn 65 26 0 06 Dec 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 28 93 0 02 Nov 2021
Traffic Forecasting on Traffic Moving Snippets Nina Wiedemann Martin Raubal AI4TS 16 2 0 27 Oct 2021
AdaGNN: A multi-modal latent representation meta-learner for GNNs based on AdaBoosting Qinyi Zhu Yiou Xiao AI4CE 34 3 0 14 Aug 2021
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention Byung-Hoon Kim Jong Chul Ye Jae-Jin Kim 32 128 0 27 May 2021
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning Lu Wang Xiaofu Chang Shuang Li Yunfei Chu Hui Li Wei Zhang Xiaofeng He Le Song Jingren Zhou Hongxia Yang 18 51 0 17 May 2021
On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions Jianfei Gao Bruno Ribeiro 27 11 0 12 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
Persistent Message Passing Heiko Strathmann M. Barekatain Charles Blundell Petar Velickovic 25 15 0 01 Mar 2021
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
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding Xuhong Wang Ding Lyu Mengjian Li Yang Xia Qi Yang ... Xinguang Wang Ping Cui Yupu Yang Bowen Sun Zhenyu Guo GNN 20 136 0 23 Nov 2020
Link Prediction using Graph Neural Networks for Master Data Management Balaji Ganesan Srinivas Parkala Neeraj R Singh Sumit Bhatia Gayatri Mishra Matheen Ahmed Pasha Hima Patel Somashekar Naganna AI4CE 27 11 0 07 Mar 2020
Learning Sequence Encoders for Temporal Knowledge Graph Completion Alberto García-Durán Sebastijan Dumancic Mathias Niepert 192 396 0 10 Sep 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 247 3,236 0 24 Nov 2016