Showing 1-12 of 12 projects
Graph Neural Network library for PyTorch
A collection of important graph embedding, classification and representation learning papers with implementations for vibe coders.
A Python library for human pose estimation, skeleton-based action recognition, and action synthesis.
A PyTorch library for processing spatiotemporal graph data using neural machine learning models.
A distributed graph deep learning framework for building graph-based AI models and applications.
A curated list of Graph/Transformer-based papers and resources for fraud, anomaly, and outlier detection.
A graph convolutional network for text classification, useful for NLP tasks and AI-powered applications.
A comprehensive guide to learning about Graph Neural Networks (GNNs), a powerful deep learning technique for processing graph-structured data.
PyTorch implementation and explanation of popular graph representation learning papers.
A PyTorch library for Deep Graph Convolutional Networks (DeepGCNs) and other graph neural network models.
A PyTorch library for attacking and defending deep learning models against adversarial examples.
A library of recommendation algorithms based on Graph Neural Networks for information retrieval and recommendation systems.
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