Can a Robot Learn Who You Are?

Introduced here are the founders of Loosh, who saw an opportunity to bridge the two paths—if AI could be built to reflect the ...
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 ...
GitHub

A Multimodal Spatio-Temporal Dataset Spanning the Earth

2025/5/15:Due to various factors such as hugging face's upload rate and policy, we are considering migrating all datasets to a stable cloud disk service, which is expected to take three weeks. If you ...
IEEE

Boosting Temporal Graph Learning From Perspectives of Global and Local Structures

Abstract: Learning on temporal graphs has attracted tremendous research interest due to its wide range of applications. Some works intuitively merge graph neural networks (GNNs) and recurrent neural ...
Scientific Research Publishing

Hamilton, W., Ying, Z. and Leskovec, J. (2017) Inductive Representation Learning on Large Graphs. 31st Conference on Neural Information Processing Systems (NIPS 2017), Long ...

ABSTRACT: Predicting molecular properties is essential for advancing for advancing drug discovery and design. Recently, Graph Neural Networks (GNNs) have gained prominence due to their ability to ...
IEEE

Temporal Link Prediction via Auxiliary Graph Transformer

Abstract: Temporal link prediction is fundamental for analyzing and predicting the behavior of real evolving complex systems. Recently, advances in graph learning for temporal network snapshots ...