TGM is a research library for temporal graph learning, designed to accelerate training on dynamic graphs while enabling rapid prototyping of new methods. It provides a unified abstraction for both ...
Push-Based Distributed Economic Dispatch in Smart Grids Over Time-Varying Unbalanced Directed Graphs
Abstract: This paper is dedicated to solving the economic dispatch problem in smart grids, which aims at minimizing the total generation cost while satisfying the power supply-demand balance and ...
Who are the adults in children’s lives? By The Learning Network Will you have a white Christmas this year? What do you notice about the map below? What questions does it raise for you? By The Learning ...
Abstract: The detection of anomalies in multisource time-series data is crucial for the efficient operation of the Internet of Things (IoT) devices and large-scale cross-domain systems. Recent methods ...
This directory contains code necessary to run the GraphSage algorithm. GraphSage can be viewed as a stochastic generalization of graph convolutions, and it is especially useful for massive, dynamic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback