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Scientists characterized the largest sample of a neural circuit to date to improve artificial intelligence models and better ...

Abstract: Bipartite spectral graph partitioning (BSGP) method as a co-clustering method, has been widely used in document clustering, which simultaneously clusters documents and words by making full ...

Abstract: The transition from Internal Combustion Engine vehicles to Electric Vehicles presents challenges for fleet managers in terms of adapting operational processes and systems. One prominent ...

This repository contains everything related to solving the Job-Shop Scheduling Problem (JSSP) with Graph Neural Networks (GNNs). I am currently moving and refactoring part of the code (and adding new ...

This repo is the official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network" by Longxiang Jiang, Liyuan Wang, Xinkun Chu, Yonghao Xiao, and Hao Zhang ...

Military forces roll through Caracas for ‘Encounter With the People’ amid tension with US California bans masks on ICE officers as Newsom strikes back at Trump on deportations ‘Tidal wave of problems’ ...

One powerful way to do this is through a routine called slow reveal graphs.

Quantum computing promises to solve the seemingly unsolvable in fields such as physics, medicine, cryptography and more.

Physicist Albert Einstein famously posited that if he only had an hour to crack a daunting problem, he'd devote 55 minutes to ...

Three teaching approaches in the classroom can help students to master problem-solving skills in their learning ...