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1. Graph-Attention-Network Graph-Attention-Network Public

   This is the implementation of the famous Graph Attention Networks from the paper: https://arxiv.org/pdf/1710.10903

   Python

2. Kinyarwanda-Morphology-Disambiguator Kinyarwanda-Morphology-Disambiguator Public

   Morphology generator systems require morphology disambiguation. I take a neural network approach in designing a morphology disambiguation process for Kinyarwanda (My native language).

   Python

3. Message-Passing-Simplicial-Complexes Message-Passing-Simplicial-Complexes Public

   Implementation of combinatorial complexes-inspired Message Passing Graph Neural Networks, based on the paper "[Cellular Message Passing Graph Neural Networks](https://arxiv.org/pdf/2103.03212)."

   Python

4. Tiny-search-engine Tiny-search-engine Public

   C

5. Graph-Isomorphism-Test Graph-Isomorphism-Test Public

   Weisfeiler Lehman Coloring algorithm is a benchmark in Graph isomorphism Testing. Infact, it bounds the expressive power of GNNs. This is a python impelementation of 1-WL test.

   Python 2

6. GAT-VGAE-Molecular-Toxicity-Prediction GAT-VGAE-Molecular-Toxicity-Prediction Public

   Exploring the impact of self-supervised learning on molecular graphs and Comparing the difference in performance due to self-supervised learning across different GNN backbones

   Jupyter Notebook