GitHub

UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction

This repository contains the official PyTorch implementation and the UMC4/12 Dataset for the paper: [UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate ...
EurekAlert!

Revolutionizing temporal knowledge graph extrapolation: The power of historical data

Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs ...
Frontiers

Single-scan adaptive graph filtering for dynamic PET denoising by exploring intrinsic spatio-temporal structure

1 School of Big Data and Statistics, Guizhou University of Finance and Economics, Guiyang, China 2 Audit Office, Guizhou University of Finance and Economics, Guiyang, China The performance of Dynamic ...
IEEE

Deep Temporal Graph Clustering: A Comprehensive Benchmark and Datasets

Abstract: Temporal Graph Clustering (TGC) is a new task with little attention, focusing on node clustering in temporal graphs. Compared with existing static graph clustering, it can find the balance ...
Frontiers

Spatio-temporal dynamic functional brain network for mild cognitive impairment analysis

Introduction: Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder, with Mild Cognitive Impairment (MCI) often serving as a prodromal stage. Early detection of MCI is critical for ...
Scientific Research Publishing

Ding, Z., Li, Y., He, Y., Norelli, A., Wu, J., Tresp, V., Ma, Y. and Bronstein, M. (2024) DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
EurekAlert!

Heterogeneous spatio-temporal graph contrastive learning for point-of-interest recommendation

As one of the most crucial topics in the recommendation system field, Point-of-Interest (POI) recommendation aims to recommending potential interesting POIs to users. Recently, graph neural networks ...