- 🔭 I’m currently working on the intersection of Symbolic AI, Recommender Systems, and Graph Neural Network for building a Neuro-symbolic recommender system.
-
@Quantum-Atlas-Stem
- Tehran
- in/ali-kookani
- @ali_kookani
- https://huggingface.co/ali-kookani
Pinned Loading
-
Association-rules-generation-from-frequent-itemsets
Association-rules-generation-from-frequent-itemsets PublicDiscover frequent patterns in the Digikala dataset using APORIO and FP-Growth methods in MATLAB 📊💻
Jupyter Notebook 3
-
Computational-Graph-Generator
Computational-Graph-Generator PublicThis project is a Python implementation to automatically create and visualize computational graphs from mathematical expressions using SymPy, NetworkX, and Matplotlib.
Jupyter Notebook 2
-
Shopping-Recommender-System-with-Manual-KNN
Shopping-Recommender-System-with-Manual-KNN PublicPredict online shopping purchases using a custom KNN model and scikit-learn’s KNeighborsClassifier. Compare sensitivity, specificity, and F1 score to evaluate performance.
Python 3
-
Graph-representation-learning-with-node2vec
Graph-representation-learning-with-node2vec PublicThis is a demonstration of two projects that leverage Node2Vec and Skip-Gram models to learn graph-based embeddings for tasks like movie recommendation and node classification using MovieLens and C…
Jupyter Notebook 1
-
Collaborative-Filtering-for-Movie-Recommendations
Collaborative-Filtering-for-Movie-Recommendations PublicTwo neural network models for collaborative movie recommendation are done with Keras and Ten sorFlow on MovieLens and Netflix Datasets
Jupyter Notebook 2
If the problem persists, check the GitHub status page or contact support.