Diaaeldin Taha

According to our database, Diaaeldin Taha authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

Sheaf Neural Networks on SPD Manifolds: Second-Order Geometric Representation Learning.

Yuhan Peng, Junwen Dong, Yuzhi Zeng, Hao Li, Ce Ju, Huitao Feng, Diaaeldin Taha, Anna Wienhard, Kelin Xia

CoRR, April, 2026

Relative Geometry of Neural Forecasters: Linking Accuracy and Alignment in Learned Latent Geometry.

Deniz Küçükahmetler, Maximilian Jean Hemmann, Julian Mosig von Aehrenfeld, Maximilian Amthor, Christian Deubel, Nico Scherf, Diaaeldin Taha

Trans. Mach. Learn. Res., 2026

2025

Immersive Visualization of Flat Surfaces Using Ray Marching.

Fabian Lander, Diaaeldin Taha

CoRR, June, 2025

Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing.

Diaaeldin Taha, James Chapman, Marzieh Eidi, Karel Devriendt, Guido Montúfar

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Normed Spaces for Graph Embedding.

Diaaeldin Taha, Wei Zhao, J. Maxwell Riestenberg, Michael Strube

Trans. Mach. Learn. Res., 2024

2023

Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices.

Wei Zhao, Federico López, J. Maxwell Riestenberg, Michael Strube, Diaaeldin Taha, Steve Trettel

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023