Search Results for author: Dominik Alfke

Found 5 papers, 3 papers with code

An Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series Classification

1 code implementation16 Apr 2021 Dominik Alfke, Miriam Gondos, Lucile Peroche, Martin Stoll

Among the many time series learning tasks of great importance, we here focus on semi-supervised learning based on a graph representation of the data.

Binary Classification General Classification +2

Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks

2 code implementations24 May 2019 Dominik Alfke, Martin Stoll

Graph Convolutional Networks (GCNs) have proven to be successful tools for semi-supervised learning on graph-based datasets.

General Classification

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