Abstract: In the field of graph self-supervised learning (GSSL), graph autoencoders and graph contrastive learning are two mainstream methods. Graph autoencoders aim to learn representations by ...

Abstract: Next Point-of-Interest (POI) recommendation, a sub-task of POI recommendation, focuses on predicting the next POI a user will visit, relying on the user’s sequential check-in history. In ...

This directory contains code necessary to run the GraphSage algorithm. GraphSage can be viewed as a stochastic generalization of graph convolutions, and it is especially useful for massive, dynamic ...

9/23/2021: Create a "latest" branch to enable running IGMC with latest PyG versions. 11/23/2020: Optimized the subgraph extraction speed further. On large datasets it shows up to 20 times speed-up.

In recent years, the integration of artificial intelligence (AI) with drug discovery has become a promising frontier in biomedical research. However, as artificial intelligence systems become ...

1 ISC-PIF - Institut des Systèmes Complexes-Paris Ile-de-France, CNRS, Paris, France 2 CAMS - Centre d'Analyse et de Mathématique Sociales, Paris, France Introduction: During the 2022 French ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Dr. JeFreda R. Brown is a financial ...

Anthropic's research shows that large language models build internal maps resembling biological perception used by humans.

This study offers a valuable advance for neuroscience by extending a visualization tool that enables intuitive assessment of how dendritic and synaptic currents shape the output of neurons. The ...