Code underlying: Hodge-Aware Convolutional Learning on Simplicial Complexes
DOI:10.4121/979541fe-e72a-42eb-af86-8dad211656bb.v1
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DOI: 10.4121/979541fe-e72a-42eb-af86-8dad211656bb
DOI: 10.4121/979541fe-e72a-42eb-af86-8dad211656bb
Datacite citation style
Yang, Maosheng (2025): Code underlying: Hodge-Aware Convolutional Learning on Simplicial Complexes . Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/979541fe-e72a-42eb-af86-8dad211656bb.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
Licence CC BY 4.0
Interoperability
This implements the convolutional neural network models on simplicial complexes, including applications of simplex-prediction and trajectory prediction.
History
- 2025-05-26 first online, published, posted
Publisher
4TU.ResearchDataFormat
script/.pyAssociated peer-reviewed publication
Convolutional Learning on Simplicial ComplexesCode hosting project url
https://github.com/cookbook-ms/Learning_on_SCsOrganizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent SystemsTo access the source code, use the following command:
git clone https://data.4tu.nl/v3/datasets/82579c3e-d7a1-46c4-b7ba-a5357a1c61dc.git "Learning_on_SCs"