spektral
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danielegrattarola
Graph Neural Networks with Keras and Tensorflow 2.
Hello, I encounter an issue when I try to flatten the output node features of a GCN. The part of my architecture where I got the problem looks like something...
Please,help :'( when I run the example citation_gat.py ,there's a mistake that bothers me. Traceback (most recent call last): File "D:/learn software/PyCharm 2020.1.1/project/No_23_spektral/2_GAT引文节点预测V1.0.py", line 22, in transforms=[LayerPreprocess(GATConv), AdjToSpTensor()]) File "D:\learn...
the code below is based on ```GatedGraphConv``` ```python import tensorflow as tf from tensorflow.keras.layers import GRUCell from spektral.layers.convolutional.message_passing import MessagePassing class GatedGraphConv(MessagePassing): def __init__( self, n_features, channels, n_timesteps, activation=None, use_bias=True,...
I am trying to implement ESOL model but with GINconv and got lot of issues: So can you give a clear example on how to merge tud_disjoint & ogbg-mol-esol_batch examples...
I am trying to implement a neural network model to predict the number of nodes in a graph that satisfy some specific property indicated by the node features and features...
Compared to the [original repository](https://github.com/PetarV-/GAT/blob/master/utils/layers.py#L38), the [GATConv](https://github.com/danielegrattarola/spektral/blob/master/spektral/layers/convolutional/gat_conv.py) implementation has some minor differences. In particular, for the original implementation: - a different dropout is applied to each head before dense transformations;...
I've recently started looking at GNNs and wanted to build myself a decent benchmarking suite. Having found this repo (which is awesome - nice work!) I'm thinking it might be...
Hi! I've run your example on classification of MNIST data. Now I'm randomly changing the adjacency matrix by swapping a large number of random rows and columns and even replacing...
Hi, Is there a way to use batch mode in topk pool? Right now it only supports single and disjoint mode. My requirement is: I was trying to implement graph...
Gradients do not exist for variables when applying learnable adjacency matrix to the GATConv layer
Hi! Recently I bulid learnable adjacency matrices for modeling in which case connections between different sites vary at different time steps. (Each time step corresponds to a specific graph structure)....
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Graph Neural Networks with Keras and Tensorflow 2.