Tag: graph-neural-networks

4 Machine learning with graph as input and output 2017-09-15T07:23:25.243

4 Is there an open-source implementation for graph convolution networks for weighted graphs? 2019-11-27T06:44:01.577

3 Are there neural networks that accept graphs or trees as inputs? 2019-06-06T00:13:06.053

2 How should I deal with multi-dimensional tensors for nodes in a graph convolution network? 2020-04-07T08:24:26.160

2 Understanding the node information score in the paper "Hierarchical Graph Pooling with Structure Learning" 2020-05-16T09:03:48.750

2 What is the best resources to learn Graph Convolutional Neural Networks? 2020-07-22T20:41:50.807

2 Why can we perform graph convolution using the standard 2d convolution with $1 \times \Gamma$ kernels? 2020-07-24T17:54:52.897

1 How to estimate the convolutional representation of a graph from its similarity to other graph convolutional representation? 2020-04-25T07:22:53.797

1 What are some conferences for publishing papers on graph convolutional networks? 2020-05-11T08:58:13.647

1 How do CNNs or RNNs "stack the feature of nodes by a specific order"? 2020-05-18T20:29:46.563

1 How to learn how to select a subgraph via reinforcement learning? 2020-06-01T23:10:38.093

1 How to design a graph neural network to predict the forces in truss elements of a space frame? 2020-06-25T13:27:52.517

1 Can I think graph convolution as 2D convolution like images? 2020-07-24T08:58:11.450

0 How can feedforward neural networks act as contraction maps? 2020-05-18T21:25:39.777

0 How do I interpret the following parameters as a network 2020-06-19T18:56:05.627

0 Why does my loss value of autoencoder in PyTorch is negative? 2020-08-15T19:32:02.320