ZigZag Persistence as a Measure of Topology Preservation in Temporal Link Prediction
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Goes over a simple software library (Python) for utilizing sparse autoencoders for more models than just language models.
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Poster presentation for the Student Intern Symposium introducing zig-zag persistence (ZZP) and a minor result showing that a temporal link prediction model was able to create a representation which preserved the dynamic topology of the trained data.