Investopedia

Bell Curve: Definition, How It Works, and Example

Andrew Bloomenthal has 20+ years of editorial experience as a financial journalist and as a financial services marketing writer. Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced ...
IEEE

Gen-GraphEx: Generative In-Distribution Graph Explanations for Time-Efficient Model-Level Interpretability of GNNs

Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...
IEEE

Graph-Based Heterogeneous Multiagent Reinforcement Learning for Distribution System Service Restoration

Abstract: Service restoration implemented by multiple distributed energy resources (DERs) is a resilience-enhancing paradigm for modern distribution systems. To address the challenges of complex ...
Utah State University

Continuous Random Variable Distribution Families

The probability density function of a uniform random variable looks like a horizontal line segment over the support. This indicates that for any interval of a given length within the support, the ...
GitHub

DeGEM: Out-of-Distribution Node Detection by Graph Energy-based Model

Official implementation for ICLR'25 paper ''Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs''[arxiv], by Yuhan Chen*, Yihong Luo*, Yifan Song, Pengwen ...
GitHub

Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems.

Official Code for the paper "Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems" (under submission, preprint available at arXiv ...