12 citations · 15 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 3 cited
Search For Deep Graph Neural Networks
Guosheng Feng, Chunnan Wang, Hongzhi Wang
Current GNN-oriented NAS methods focus on the search for different layer aggregate components with shallow and simple architectures, which are limited by the 'over-smooth' problem.…
cs.LG2021★ 12 cited
FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search
Chunnan Wang, Bozhou Chen, Geng Li +1
Recently, some Neural Architecture Search (NAS) techniques are proposed for the automatic design of Graph Convolutional Network (GCN) architectures. They bring great convenience to…