Temporal Graph Neural Network

Temporal Graph Neural Networks (TGNNs) aim to analyze and predict the evolution of relationships within dynamic networks by incorporating both the structure of the graph and the temporal dynamics of its interactions. Current research emphasizes improving the efficiency and scalability of TGNNs, often through novel architectures like Transformers and optimized training strategies, as well as enhancing interpretability and addressing challenges like data sparsity and noise. This field is significant for its applications in diverse areas such as traffic forecasting, recommendation systems, and crime prediction, offering more accurate and insightful models for complex real-world phenomena.

Papers

June 12, 2024

Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks
Wenying Duan, Tianxiang Fang, Hong Rao, Xiaoxi He
Graph Drawing Temporal Graph Neural Network Spectral Graph Pre Training Task Spatiotemporal Datasets Robust Ticket

May 18, 2024

GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
Time Series Forecasting Temporal Dependency Multivariate Time Series Forecasting Temporal Graph Neural Network Variable Model

May 1, 2024

WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting
Theodoros Theodoropoulos, Angelos-Christos Maroudis, Antonios Makris, Konstantinos Tserpes
Traffic Forecasting Temporal Graph Neural Network Spatio Temporal Graph

March 28, 2024

March 25, 2024

GreeDy and CoDy: Counterfactual Explainers for Dynamic Graphs
Zhan Qu, Daniel Gomm, Michael Färber
Counterfactual Explanation Dynamic Graph Temporal Graph Neural Network Greedy SLIM

March 2, 2024

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
Heterogeneous Graph Traffic Forecasting Temporal Graph Neural Network Spatio Temporal Graph Spatio Temporal Relationship

February 23, 2024

MSPipe: Efficient Temporal GNN Training via Staleness-aware Pipeline
Guangming Sheng, Junwei Su, Chao Huang, Chuan Wu
Temporal Dependency Temporal Graph Temporal Graph Neural Network Temporal GNN Static Deep Neural Network

February 13, 2024

Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale
Yangxin Fan, Raymond Wieser, Laura Bruckman, Roger French, Yinghui Wu
Visual Analogue Scale Temporal Graph Neural Network Temporal Graph Learning Graph Autoencoders Generation Data Degradation Prediction

February 8, 2024

TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning
Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor Prasanna
Dense Retrieval Temporal Graph Neural Network Dynamic Graph Representation Learning Temporal Neighbor Spatiotemporal Sampling

February 2, 2024

Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization
Mahdi Biparva, Raika Karimi, Faezeh Faez, Yingxue Zhang
Temporal Dependency Dynamic Graph Temporal Graph Neural Network Transformer Based Neural Network Temporal Positional Encoding

January 22, 2024

Connecting the Dots: Leveraging Spatio-Temporal Graph Neural Networks for Accurate Bangla Sign Language Recognition
Haz Sameen Shahgir, Khondker Salman Sayeed, Md Toki Tahmid, Tanjeem Azwad Zaman, Md. Zarif Ul Alam
MAESTRO Dataset Sign Language Temporal Graph Neural Network Dot Product Bangla Sign Language

December 21, 2023

MR-STGN: Multi-Residual Spatio Temporal Graph Network Using Attention Fusion for Patient Action Assessment
Youssef Mourchid, Rim Slama
Temporal Graph Neural Network Attention Fusion

November 15, 2023

Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction
Guangyin Jin, Lingbo Liu, Fuxian Li, Jincai Huang
Traffic Prediction Temporal Graph Neural Network Neural Point Process Traffic Congestion Prediction

November 7, 2023

GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks
Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
GPT Neo Temporal Graph Neural Network Spatiotemporal Representation Generative Pre Training Spatio Temporal Prediction Spatio Temporal Representation

October 30, 2023

TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery
Jialin Chen, Rex Ying
High Explainability Temporal Graph Temporal Graph Neural Network Temporal Pattern Motif Discovery Temporal Motif

October 20, 2023

TempGNN: Temporal Graph Neural Networks for Dynamic Session-Based Recommendations
Eunkyu Oh, Taehun Kim
Recurrent Neural Network Self Attention Temporal Graph Neural Network Temporal Dynamic Session Based Recommendation Session Graph

September 29, 2023

Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network
Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
Swarm Robotics Temporal Graph Neural Network Decentralized Control Flocking Control

September 23, 2023

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann
Structural Causal Model Temporal Graph Neural Network Spatio Temporal Graph Accurate Treatment Temporal Spatial Causal

September 11, 2023

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
Multivariate Time Series Graph Convolution Temporal Graph Neural Network Temporal Correlation Multivariate Time Series Data Spatial Temporal Graph

Temporal Graph Neural Network

Papers

Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks

GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing

WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting

Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction

Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting

GreeDy and CoDy: Counterfactual Explainers for Dynamic Graphs

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting

MSPipe: Efficient Temporal GNN Training via Staleness-aware Pipeline

Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale

TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning

Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization

Connecting the Dots: Leveraging Spatio-Temporal Graph Neural Networks for Accurate Bangla Sign Language Recognition

MR-STGN: Multi-Residual Spatio Temporal Graph Network Using Attention Fusion for Patient Action Assessment

Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction

GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks

TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery

TempGNN: Temporal Graph Neural Networks for Dynamic Session-Based Recommendations

Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data