IEEE

Temporal Decay Graph Neural Networks for Dynamic Link Prediction

Abstract: Temporal graph representation learning is vital for modeling dynamic relationships in evolving networks. In this work, we propose Euler++, a hybrid temporal graph neural network that ...
GitHub

Temporal Graph Neural Networks for Real-Time Financial Fraud Detection

This project implements and compares Temporal Graph Neural Networks (TGNNs) for detecting fraudulent transactions in financial networks. We've built a complete end-to-end system including model ...
Scientific Research Publishing

Graph Neural Networks for Spatio-Temporal Forecasting of Foot-and-Mouth Disease Risk Using ...

1 Department of Computer Science, Mountains of the Moon University, Fortportal, Uganda. 2 Department of Computer Science and Informatics, University of Nairobi, Nairobi, Kenya. 3 Department of ...
IEEE

Spatio-Temporal Graph Convolutional Network Incorporating Knowledge Graph Embeddings for ...

Abstract: This paper proposes a spatio-temporal graph convolutional network incorporating knowledge graph embeddings for hydrological time series prediction. A knowledge graph is constructed to ...
Scientific Research Publishing

Rossi, E., et al. (2020) Temporal Graph Networks for Deep Learning on Dynamic Graphs. arXiv ...

ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...
Frontiers

RS-STGCN: Regional-Synergy Spatio-Temporal Graph Convolutional Network for emotion recognition

Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...
Frontiers

SSEL: spike-based structural entropic learning for spiking graph neural networks

Spiking Neural Networks (SNNs) offer transformative, event-driven neuromorphic computing with unparalleled energy efficiency, representing a third-generation AI paradigm. Extending this paradigm to ...