Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-Offs
Author:
Affiliation:
1. Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA
2. Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA
Funder
NSF-Simons MoDL
NSF AI Institutes program
NSF HDR TRipods
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/78/10347386/10508628.pdf?arnumber=10508628
Reference60 articles.
1. Convolutional Filtering on Sampled Manifolds
2. Convergence of Graph Neural Networks on Relatively Sparse Graphs
3. Graph Neural Networks for Predicting Protein Functions
4. Structure-based protein function prediction using graph convolutional networks
5. Graph Neural Networks for Decentralized Multi-Robot Path Planning
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