Deep GCNs with Random Partition and Generalized Aggregator
Graph Convolutional Networks (GCNs) draws significant attention due to its power of representation learning on graphs. Recent works developed frameworks to train deep GCNs. Such works show impressive results in tasks like point cloud classification and segmentation, and protein interaction predictio...
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| Language: | en |
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2020
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| Online Access: | http://hdl.handle.net/10754/666216 |