The first method is based on Monte Carlo chains. The negative samples were sampled using the method in Understanding Negative Sampling in Graph Representation Learning. This work Negative ...

Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have utilized GCNs for ...

Issue description RuntimeError: Trying to create tensor with negative dimension -1741885395: [-1741885395] I am running a graph convolution network model using Pytorch and get the problem: _File ...