Abstract: The large-scale penetration of wind and photovoltaic (PV) power generation brings significant uncertainties to the distribution system power flows. In this paper, a data-driven Graph Sample ...
A from-scratch implementation of graph neural network architectures including Graph Convolutional Networks (GCN), Graph Attention Networks (GAT), and GraphSAGE. Supports node classification, link ...
This project implements an end-to-end Graph Machine Learning pipeline to detect illicit transactions and money laundering activities within cryptocurrency (Bitcoin) networks. Unlike traditional ...
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