GitHub

Official repository for the paper "Learning Latent Graph Structures and Their Uncertainty" (ICML 2025)

This repository contains a refactoring of the code used in the paper "Learning Latent Graph Structures and Their Uncertainty" (ICML 2025). The code is designed to be modular and easy to use, allowing ...
IEEE

Deep Reinforcement Learning with Graph Neural Networks: An Indepth Analysis of Algorithms and Applications

Abstract: Deep Reinforcement Learning (DRL) enable several areas of artificial intelligence, including perception recognition, expert system, recommender program and game. Also, graph neural networks ...
GitHub

Association-Focused Path Aggregation for Graph Fraud Detection

Fraudulent activities have caused substantial negative social impacts and are exhibiting emerging characteristics such as intelligence and industrialization, posing challenges of high-order ...
IEEE

PimBeam: Efficient Regular Path Queries Over Graph Database Using Processing-in-Memory

Abstract: Regular path queries (RPQs) in graph databases are bottlenecked by the memory wall. Emerging processing-in-memory (PIM) technologies offer a promising solution to dispatch and execute path ...
SciTech Daily

New Algorithm Lets Architects Design Stunning Curved Structures in Minutes

Thanks to computer numerical control (CNC) fabrication technologies, the method may also be applied to design-laminated timber gridshells. Credit: ©2025 Masaaki Miki and Toby Mitchell CC-BY-ND A new ...