{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/gnn-rl-compression-topology-aware-network","title":"Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning","arxiv_id":"2102.03214","date":"2021-02-05","proceeding":null,"authors":["Sixing Yu","Arya Mazaheri","Ali Jannesari"],"abstract":"Model compression is an essential technique for deploying deep neural networks (DNNs) on power and memory-constrained resources. 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