Neighborhood-aware Scalable Temporal Network Representation Learning Paper • 2209.01084 • Published Sep 2, 2022
Do We Really Need Complicated Model Architectures For Temporal Networks? Paper • 2302.11636 • Published Feb 22, 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified Library Paper • 2303.13047 • Published Mar 23, 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Paper • 2307.03759 • Published Jul 7, 2023
Structured Sequence Modeling with Graph Convolutional Recurrent Networks Paper • 1612.07659 • Published Dec 22, 2016 • 1
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series Paper • 2012.00168 • Published Nov 30, 2020
UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction Paper • 2306.11443 • Published Jun 20, 2023
Using Causality-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs Paper • 2310.15865 • Published Oct 24, 2023
TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery Paper • 2310.19324 • Published Oct 30, 2023 • 2
Semantic Association Rule Learning from Time Series Data and Knowledge Graphs Paper • 2310.07348 • Published Oct 11, 2023 • 1