Embedding Compression with Hashing for Efficient Representation Learning in Graph
Graph neural networks (GNNs) are deep learning models designed specifically for graph
data, and they typically rely on node features as the input node representation to the first …
data, and they typically rely on node features as the input node representation to the first …
Embedding Compression with Hashing for Efficient Representation Learning in Graph
CCM Yeh, M Gu, Y Zheng, H Chen, J Ebrahimi… - 2021 - openreview.net
Graph neural networks (GNNs) are deep learning models designed specifically for graph
data, and they typically rely on node features as the input node representation to the first …
data, and they typically rely on node features as the input node representation to the first …