Search Results for author:
Found 2 papers, 0 papers with code
On Node Features for Graph Neural Networks
Graph neural network (GNN) is a deep model for graph representation learning.
Parallel Computation of Graph Embeddings
We therefore propose a framework for parallel computation of a graph embedding using a cluster of compute nodes with resource constraints.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
