TopoModelX
TopoModelX copied to clipboard
pyt-team
Topological Deep Learning
Examine the models to determine whether it was necessary to avoid using primitives from topomodelx.base.conv. If it turns out that avoiding them was not justified, update the models by incorporating...
# What? There is an issue upon loading the datasets from TopoNetX when testing TopoModelX through GitHub Actions. See details: https://github.com/pyt-team/TopoNetX/issues/195 We need to fix it. # Why? Because the...
This is related to test failure of pr #235 which replaces current sparse matrix casting to torch with the newly merged `from_sparse` method. The tutorial [here](https://github.com/pyt-team/TopoModelX/blob/main/tutorials/cell/can_train.ipynb) fails due to attempting...
# What Implement a path complex neural network. # Why Currently TopoModelX has networks for hypergraphs, simp, cell and combinatorial complexes. TopoNetX supports all these complexes as well as Path...
Hi, From looking at the existing tutorials for cell based networks, it doesnt seem like there is a convention to do batching for cell complexes. Is there some sort of...
The bug happens when the last cell / simplex (index-wise) is isolated. Simple code to reproduce the issue: ``` from toponetx.classes.cell_complex import CellComplex import torch from topomodelx.base.conv import Conv if...
TopoModelX contains some scatter functions in `utils.scatter`, that -- according to the module docstring -- are adapted from `torch_scatter`. Is there a specific reason why we ship our own implementation?...
# What? We consider the layers implemented for the simplicial complex domain, i.e. the ones in `nn/simplicial/*_layer.py`. Each Layer is a Python class that has a forward() method. The docstring...