Josephine Maria Thomas

According to our database, Josephine Maria Thomas authored at least 12 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Absolute Evaluation Measures for Machine Learning: A Survey.

Silvia Beddar-Wiesing, Alice Moallemy-Oureh, Marie Kempkes, Josephine M. Thomas

CoRR, July, 2025

Flow-Attentional Graph Neural Networks.

Pascal Plettenberg, Dominik Köhler, Bernhard Sick, Josephine M. Thomas

Trans. Mach. Learn. Res., 2025

Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics.

Pascal Plettenberg, André Alcalde, Bernhard Sick, Josephine M. Thomas

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track, 2025

2024

Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs.

Silvia Beddar-Wiesing, Giuseppe Alessio D'Inverno, Caterina Graziani, Veronica Lachi, Alice Moallemy-Oureh, Franco Scarselli, Josephine Maria Thomas

Neural Networks, 2024

Graph Reinforcement Learning in Power Grids: A Survey.

Mohamed Hassouna, Clara Holzhüter, Pawel Lytaev, Josephine M. Thomas, Bernhard Sick, Christoph Scholz

CoRR, 2024

2023

Graph Neural Networks Designed for Different Graph Types: A Survey.

Josephine Maria Thomas, Alice Moallemy-Oureh, Silvia Beddar-Wiesing, Clara Holzhüter

Trans. Mach. Learn. Res., 2023

2022

FDGNN: Fully Dynamic Graph Neural Network.

Alice Moallemy-Oureh, Silvia Beddar-Wiesing, Rüdiger Nather, Josephine M. Thomas

CoRR, 2022

2021

Graph type expressivity and transformations.

Josephine M. Thomas, Silvia Beddar-Wiesing, Alice Moallemy-Oureh, Rüdiger Nather

CoRR, 2021

2018

Pioneering topological methods for network-based drug-target prediction by exploiting a brain-network self-organization theory.

Claudio Durán, Simone Daminelli, Josephine Maria Thomas, V. Joachim Haupt, Michael Schroeder, Carlo Vittorio Cannistraci

Briefings Bioinform., 2018

2017

Complex network embedding in the hyperbolic space using non-linear unsupervised machine learning techniques.

Josephine Maria Thomas

PhD thesis, 2017

2016

Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space.

Josephine Maria Thomas, Alessandro Muscoloni, Sara Ciucci, Ginestra Bianconi, Carlo Vittorio Cannistraci

CoRR, 2016

2015

Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks.

Simone Daminelli, Josephine Maria Thomas, Claudio Durán, Carlo Vittorio Cannistraci

CoRR, 2015