Papers matching “graph representation learning” 16
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Autism Spectrum Disorder Classification Based on Interpersonal Neural Synchrony: Can Classification be Improved by Dyadic Neural Biomarkers Using Unsupervised Graph Representation Learning?2022 Lecture notes in computer science conference-paper Neuroscience Autism Spectrum Disorder Research Open access
Christian Gerloff, Kerstin Konrad, Martin Schulte‐Rüther, Vanessa Reindl
7citations -
A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings2024 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Advanced Graph Neural Networks
Michael Scholkemper, Damin Kühn, Gerion Nabbefeld, Simon Musall, Björn M. Kampa, Michael T. Schaub
2citations -
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions2023 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Advanced Graph Neural Networks Open access
Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Toyotaro Suzumura, Manish Singh
8citations -
The Effects of Randomness on the Stability of Node Embeddings2021 Communications in computer and information science conference-paper Computer Science Advanced Graph Neural Networks Open access
Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Martin Grohe, Markus Strohmaier
16citations -
Analysis of automatically generated embedding guides for cell classification2022 International Conference on Image Processing Theory, Tools and Applications (IPTA) conference-paper Computer Science Digital Imaging for Blood Diseases
Philipp Gräbel, Julian Thull, Martina Margrit Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf, +1 more
0citations
16 results