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Hi,
Thanks for creating this package, it is wonderful!
One question I have, is that I prefer to work with just local files that represent x_train, y_train etc.
However, al lot of your examples …
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I have a piece of Spektral-based code for which I am using my university HPC cluster. Everything appears to work fine on the cluster (in terms of errors etc. anyway). I just downloaded the notebook to…
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Hi Daniele and all,
I'm trying to use DisjointLoader in order to train a GCN to make a node-level prediction. My own dataset consists in a list of graphs with different shapes and large sparse adja…
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This is more of a request than a functional issue. It would be extremely nice to be able to install and maintain spektral from conda.
pip install into a conda environment can break the environment…
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Site needs to be renamed since this didn't actually fork spektral. It's a gwatt theme.
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I'm running into two issues when trying to load a dataset.
1) with the TUDataset, the clean URL doesn't exist anymore. I changed tudataset.py -->
line 55: url_clean = ("https://www.chrsmrrs.com…
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I am unable to `import spektral` package at the beginning of my script. Simply returns
`zsh: illegal hardware instruction python`.
I have a MacAir with M1 and running in a conda env with python …
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Hello, I have a question about graph classification using Spektral models. I have created a Dataset for Graph() object and now I am interested in which models can be used for Graph-classification. I s…
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La idea es verificar si es necesario realizar algún pre-procesamiento a los datos (por ejemplo normalización), o algún otro detalle a tener en cuenta en las pruebas.
La matriz de identidad es ne…
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I have trained the model successfully but i am getting following error on test data
`ValueError: Input 1 is incompatible with layer model_2: expected shape=(None, 2708), found shape=(None, 1000)`