Browsing Electrical Communication Engineering (ECE) by Advisor "Chepuri, Sundeep Prabhakar"
Now showing items 1-3 of 3
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Graph Neural Networks with Parallel Local Neighborhood Aggregations
Graph neural networks (GNNs) have become very popular for processing and analyzing graph-structured data in the last few years. Using message passing as their basic building blocks that aggregate information from neighborhoods, ... -
Learning with Multi-domain and Multi-view Graph Data
In many applications, we observe large volumes of data supported on irregular (non-Euclidean) domains. In graph signal processing (GSP) and graph machine learning (GML), data is indexed using the nodes of a graph and ... -
Sampling, Recovery, and Learning Methods for Graphs and Simplicial Complexes
Many datasets are often supported by irregular non-Euclidean domains. Graph signal processing (GSP) and topological signal processing (TSP) enables effective processing of such data by modeling interactions among data ...