Abstract: An undirected weighted graph (UWG) is the fundamental data representation in various real applications. A graph convolution network is frequently utilized for representation learning to a ...
"Research sheds light onto companies’ first year sustainability disclosures" As Europe’s sustainability reporting rules face intense political scrutiny, a new analysis by Frank Bold provides timely ...
The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
Python 3.10.13 PyTorch 1.13.0 torch_geometric 2.5.2 torch-cluster 1.6.1 torch-scatter 2.1.1 torch-sparse 0.6.17 torch-spline-conv 1.2.2 sparsemax 0.1.9 CUDA 11.7 Train RIGSL using the MELD dataset.
The Coalition Against SLAPPs in Europe (CASE) and the European Centre for Press and Media Freedom (ECPMF) are proud to announce the launch of the European Anti-SLAPP Monitor, a new online platform ...
We build an advanced LangGraph multi-agent system that leverages Google’s free-tier Gemini model for end-to-end research workflows. In this tutorial, we start by installing the necessary libraries, ...
Abstract: This paper presents a novel approach to graph learning, GL-AR, which leverages estimated autoregressive coefficients to recover undirected graph structures from time-series graph signals ...
Introduction: Voxel hierarchy on dynamic brain graphs is produced by k-core percolation on functional dynamic amplitude correlation of resting-state fMRI. Methods: Directed graphs and their ...
Department of Mathematics and Statistics, Qinghai Minzu University, Xining, China. Since then, much attention has been paid to this topic, but they mainly focus on undirected graphs and integral trees ...
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