An implementation from scratch of major Graph Neural Network (GNN) architectures using Numpy
Welcome to the Role Transition Prediction Challenge ! This competition focuses on predicting how user roles evolve over time in the Super User Stack Exchange temporal network.
Drug Repurposing using Graph Neural Networks
Graph neural network classifies research papers based on citation network structure and features.
Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Graph Neural Networks for Social Network Analysis leverages deep learning on graph data to study user relationships, predict behaviors, and extract meaningful insights from social networks.
My Bachelor's Thesis of Physics at TUM.
A PyTorch implementation of Hierarchical Relational Networks for Group Activity Recognition, based on the ECCV 2018 paper by Ibrahim & Mori. This implementation extends the original work with modern training practices, ResNet50 backbone, and Graph Attention Networks.
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