Josephine Maria Thomas

According to our database1, Josephine Maria Thomas authored at least 9 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2024
Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs.
Neural Networks, 2024

Graph Reinforcement Learning in Power Grids: A Survey.
CoRR, 2024

2023
Graph Neural Networks Designed for Different Graph Types: A Survey.
Trans. Mach. Learn. Res., 2023

2022
FDGNN: Fully Dynamic Graph Neural Network.
CoRR, 2022

2021
Graph type expressivity and transformations.
CoRR, 2021

2018
Pioneering topological methods for network-based drug-target prediction by exploiting a brain-network self-organization theory.
Briefings Bioinform., 2018

2017
Complex network embedding in the hyperbolic space using non-linear unsupervised machine learning techniques.
PhD thesis, 2017

2016
Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space.
CoRR, 2016

2015
Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks.
CoRR, 2015


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