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Graph Convolutional Networks
- July 21, 2021
- Posted by: vsinghal
- Category: Graph Neural Networks papers
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Author : Gouthaman Asokan
Submitted on : 5 Sep 2020
Abstract – Graphs have a specific format of data structure that makes it challenging to pass through the neural networks. We will be seeing a specified neural network called Graph Convolution Network, which acts as a first order approximation of Spectral Graph Convolutions. This network helps in learning the node embeddings that learn both the graph structure and the features of the node. Applications include semi supervised classification on various datasets such as social and citation networks.
Keywords – Graphs, Graph Neural Networks, Graph Analytics, Graph Nets, GCN