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

January 8, 2025

Dynamic Localisation of Spatial-Temporal Graph Neural Network
Wenying Duan, Shujun Guo, Wei huang, Hong Rao, Xiaoxi He
Temporal Graph Neural Network Temporal Data Localization Framework Spatial Dependence Spatial Graph

January 6, 2025

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks
Atmane Ayoub Mansour Bahara, Kamel Soaïd Ferrahia, Mohamed-Lamine Messai, Hamida Seba, Karima Amrouche
Graph Neural Network Network Programming Intrusion Detection System Temporal Graph Neural Network Cyber Defense Advanced Persistent Threat Continuum Tip

December 28, 2024

Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours
Yuxin Yang, Hongkuan Zhou, Rajgopal Kannan, Viktor Prasanna
Global Evaluation Temporal Graph Temporal Graph Neural Network

December 23, 2024

STAHGNet: Modeling Hybrid-grained Heterogenous Dependency Efficiently for Traffic Prediction
Jiyao Wang, Zehua Peng, Yijia Zhang, Dengbo He, Lei Chen
Fine Grained Temporal Graph Temporal Graph Neural Network Traffic Flow Prediction Heterogeneous Setting

December 14, 2024

ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data
Zhenyu Lei, Yushun Dong, Jundong Li, Chen Chen
Raw Data Temporal Graph Neural Network Spatio Temporal Forecasting Spatio Temporal Graph Spatial Temporal Graph Training Example

December 13, 2024

Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng
Transformer Megatron Decepticons Traffic Forecasting Traffic Data Spatial Domain Temporal Graph Neural Network Traffic Datasets

December 10, 2024

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
Junwei Su, Shan Wu
LeArning Abstract Network Programming Temporal Graph Neural Network Time Series Clustering Volatility Surface

December 7, 2024

Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts
Haiyang Jiang, Tong Chen, Wentao Zhang, Nguyen Quoc Viet Hung, Yuan Yuan, Yong Li, Lizhen Cui
Distribution Shift Prompt Learning Temporal Graph Neural Network Spatio Temporal Forecasting Spatial Temporal Graph Flow Prediction

December 4, 2024

Semi-decentralized Training of Spatio-Temporal Graph Neural Networks for Traffic Prediction
Ivan Kralj, Lodovico Giaretta, Gordan Ježić, Ivana Podnar Žarko, Šarūnas Girdzijauskas
Temporal Graph Neural Network Traffic Datasets Spatio Temporal Graph Decentralized Training GNN Based Service Smart Mobility

November 26, 2024

Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting
Yufan Zheng, Wei Jiang, Alexander Zhou, Nguyen Quoc Viet Hung, Choujun Zhan, Tong Chen
Spatio Temporal Graph Neural Temporal Graph Neural Network Epidemic Forecasting Location Embeddings

November 18, 2024

Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting
Gabriele Immordino, Andrea Vaiuso, Andrea Da Ronch, Marcello Righi
Supervised Autoencoder Temporal Graph Neural Network Aerodynamic Force Autoencoder Architecture Forecast Distribution Pressure Map Transonic Buffet

November 14, 2024

Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting
Weilin Ruan, Wenzhuo Wang, Siru Zhong, Wei Chen, Li Liu, Yuxuan Liang
Spatio Temporal Time Matter Temporal Dependency State of the Art Forecasting Temporal Graph Neural Network Traffic Flow Understanding Cross Spatiotemporal Traffic

November 11, 2024

Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Air Quality Sensor Fusion
Keivan Faghih Niresi, Ismail Nejjar, Olga Fink
Graph Neural Network Domain Adaptation Ground Truth Sensor Fusion Temporal Graph Neural Network

November 6, 2024

Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction
Zesheng Liu, Maryam Rahnemoonfar
Graph Neural Network High Efficiency Temporal Graph Neural Network Thickness Profile Ice Layer

October 29, 2024

A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification
Flavio Corradini, Marco Gori, Carlo Lucheroni, Marco Piangerelli, Martina Zannotti
Graph Neural Network Full Model Classification Code Time Series Forecasting Spatio Temporal Time Series Classification Systematic Literature Review Temporal Graph Neural Network

October 17, 2024

Interpreting Temporal Graph Neural Networks with Koopman Theory
Michele Guerra, Simone Scardapane, Filippo Maria Bianchi
High Explainability Dynamical System Temporal Graph Koopman Operator Temporal Graph Neural Network Temporal Pattern Spatiotemporal Graph Neural Network

October 16, 2024

Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
Wei Chen, Yuxuan Liang
Temporal Graph Neural Network Spatio Temporal Forecasting Prompt Expansion Federat\textbf{T}ed Cl\textbf{A}ss Continual Lea\textbf{R}nin\textbf{G

October 5, 2024

Improving Temporal Link Prediction via Temporal Walk Matrix Projection
Xiaodong Lu, Leilei Sun, Tongyu Zhu, Weifeng Lv
Random Walk Temporal Graph Neural Network Temporal Link Prediction

September 23, 2024

Temporal Graph Memory Networks For Knowledge Tracing
Seif Gad, Sherif Abdelfattah, Ghodai Abdelrahman
Knowledge Tracing Temporal Graph Neural Network Temporal Dynamic Relation Pattern

September 17, 2024

GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based method
Ali Royat, Seyed Mohamad Moghadas, Lesley De Cruz, Adrian Munteanu
Graph Neural Network Information Bottleneck Temporal Graph Neural Network Temporal Graph Learning Prototype Based Temporal Graph Representation Learning

Temporal Graph Neural Network

Papers

Dynamic Localisation of Spatial-Temporal Graph Neural Network

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks

Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours

STAHGNet: Modeling Hybrid-grained Heterogenous Dependency Efficiently for Traffic Prediction

ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data

Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks

Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts

Semi-decentralized Training of Spatio-Temporal Graph Neural Networks for Traffic Prediction

Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting

Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting

Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting

Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Air Quality Sensor Fusion

Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction

A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification

Interpreting Temporal Graph Neural Networks with Koopman Theory

Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting

Improving Temporal Link Prediction via Temporal Walk Matrix Projection

Temporal Graph Memory Networks For Knowledge Tracing

GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based method