Abstract: Recent advancements in learning from graph-structured data have highlighted the importance of graph convolutional networks (GCNs). Despite some research efforts on the theoretical aspects of ...

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Official code for Geometric Generative Modeling with Noise Conditioned Graph Networks by Peter Pao-Huang, Mitchell Black, and Xiaojie Qiu. Noise Conditional Graph Networks (NCGNs) are a new class of ...

This repository contains code for Talk like a Graph: Encoding Graphs for Large Language Models and Let Your Graph Do the Talking: Encoding Structured Data for LLMs. @inproceedigs{fatemi2024talk, ...

Abstract: The convergence of communication and artificial intelligence (AI) is transforming next-generation wireless networks. Inspired by natural intelligence, particularly in how data, information, ...