Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph

Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng +6

Graph neural networks (GNNs) are deep learning models designed specifically for graph data, and they typically rely on node features as the input to the first layer. When applying…