IEEE

Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets

Abstract: The training and inference of Graph Neural Networks (GNNs) are costly when scaling up to large-scale graphs. Graph Lottery Ticket (GLT) has presented the first attempt to accelerate GNN ...
GitHub

CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era

This repository contains the code and resources for the paper CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era by Yanlin Feng, Simone Papicchio, and ...
IEEE

Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications

Abstract: Deep neural networks for graphs (DNNGs) represent an emerging field that studies how the deep learning method can be generalized to graph-structured data. Since graphs are a powerful and ...
Arkansas Democrat-Gazette

Homegrown talent: Fort Smith Southside product Kobe Branham quickly climbs Arkansas’ depth chart

FAYETTEVILLE -- Barring a surprise when the University of Arkansas football team's official depth chart is released, Kobe Branham will be the starting right guard for the Razorbacks in 2025. Branham ...