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1. torch-operation-counter torch-operation-counter Public

   A PyTorch library for counting arithmetic operations (e.g., additions, multiplications) during PyTorch calls, with support for machine-independent execution and the ability to measure operations pe…

   Python 8 1

2. torch-floating-point torch-floating-point Public

   A PyTorch library for simulating custom floating-point formats and performing hardware-aware rounding. Supports configurable exponent/mantissa bits, bias values, and NaN/infinity handling, with CPU…

   Python 3

3. MixQ MixQ Public

   The official implementation for the paper S. Moustafa, N. Kriege and W. N. Gansterer, "Efficient Mixed Precision Quantization in Graph Neural Networks," in 2025 IEEE 41st International Conference o…

   Python 2

4. torch-loss-landscape torch-loss-landscape Public

   The official implementation for the paper S. Moustafa, L. Kummer, S. Fetzel, N. Kriege and W. N. Gansterer, "Visualization and Analysis of the Loss Landscape in Graph Neural Networks," in Neural Ne…

   Python 2

5. Time-Series-Classification Time-Series-Classification Public

   The official implementation for the paper R.Castro, S.Moustafa, P.Pilyugina, E.Burnaev "Topologically-based Variational Autoencoder for Time Series Classification" in ICML: LatinX in AI (LXAI) Rese…

   Jupyter Notebook 18 7

6. k-RedundancyGNNs k-RedundancyGNNs Public

   Source code for the paper: Bause, F., Moustafa, S., Langguth, J., Gansterer, W.N., Kriege, N.M.; On the Two Sides of Redundancy in Graph Neural Networks. (ECML PKDD 2024)

   Python