Abstract: High renewable penetration and reduced system inertia introduce significant challenges for transient stability assessment and control. This article proposes a causality-aware, large language ...

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 ...

Self-represented litigants are no less deserving of a proper day in court. Having judges and attorneys who are aware of the distinctiveness of dealing with pro se parties and diplomatic with the ...

Graphs are data structures that represent complex relationships across a wide range of domains, including social networks, knowledge bases, biological systems, and many more. In these graphs, entities ...

ABSTRACT: Social networks like Facebook, X (Twitter), and LinkedIn provide an interaction and communication environment for users to generate and share content, allowing for the observation of social ...

This repository contains Java and C++ implementations of the algorithm GEMPE introduced in the KDD 2020 paper "Data Compression as a Comprehensive Framework for Graph Drawing and Representation ...

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