Abstract: Graph matching aims to establish node correspondences between graphs, which is a classic combinatorial optimization problem. In recent years, (deep) learning-based methods have emerged as a ...
Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...
Everyone loves a good list, and a couple of big ones have been unveiled in recent weeks: MLB Pipeline’s preseason Top 100 Prospects list, and the Top 100 Players Right Now list. But do you know what’s ...
Every fall, the leaves turn and flutter to the ground. Pumpkins are hollowed out and carved with the devilish grins of Jack-o'-lanterns; kids, young and old, dress up as ghosts, ghouls and goblins; ...
Welcome to the artifact repository of OSDI'25 accepted paper: Achieving Low-Latency Graph-Based Vector Search via Aligning Best-First Search Algorithm with SSD! This repository contains the ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Verizon swept RootMetrics’ H2 2025 testing with seven national awards including overall performance and 5G leadership. AT&T and T-Mobile remained competitive with strong showings in speed and ...
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