Work we did for a practical course in graph learning, organized by department Informatik 7 at RWTH University
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Updated
Jun 24, 2024 - Python
Work we did for a practical course in graph learning, organized by department Informatik 7 at RWTH University
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Senior Project codes, it will be mostly about natural language process and machine learning
This project implements a semi-supervised approach to classify UN speeches. Utilized BERT, Gensim, Node2Vec and Tensorflow
ESG-investment AI
A repository of pretty cool datasets that I collected for network science and machine learning research.
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
A curated list of community detection research papers with implementations.
Torch geometric compatible node embedders
Topology-Driven Edge Predictions with Graph Machine Learning for Optical Network Growth: Graph representation learning on real-world optical core networks outperforms edge prediction heuristics by 10 times, achieving up to 93.4% accuracy on BT(UK), COST(EU), and CORONET(USA) by learning from 10% training data.
Using a co-citation network and abstracts to predict the H-index of a researcher.
This repository is for Netflix movie recommendations using various content and collaborative-based methods like Word2vec, Node2vec, Sentence Transformer, MiniBatchKMeans, Cosine Similarity, Pearson's Correlation, and Singular Value Decomposition (SVD).
A distributed graph deep learning framework.
Classifying Verified used users on Twitter based on how likely they are to share Fake News articles
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