G3: A Programmable GNN Training System on GPU
deep-neural-networks gpu graph-processing gpu-acceleration gpu-computing gunrock gnn graph-neural-network gnn-architectures graph-systems
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- Cuda
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gnn-architectures
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with GUG, Let's explore the Graph Neural Network!
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- Jupyter Notebook
VISION is a framework for robust and interpretable code vulnerability detection using counterfactual data augmentation. It leverages GNNs, LLM-generated counterfactuals, and graph-based explainability to mitigate spurious correlations and improve generalization on real-world vulnerabilities (CWE-20).
spurious-correlations vulnerability-detection joern illuminati counterfactuals gnn-architectures augmentation-pipeline devign explainability-ai ai-robustness cwe-20
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- Jupyter Notebook
Deep Learning with Graph Representation of Bio-Molecules to estimate physical Properties
bioinformatics deep-learning pytorch neural-networks gnns pytorch-geometric biomolecular-structures graph-deep-learning gnn-architectures biomolecular-data
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- Jupyter Notebook
Structure-aware graph neural networks for small RNA classification.
structural-biology rna-structure pytorch-geometric gnn-architectures 3d-structures rna-classification
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- Python
This repository contains code implementations for Graph Neural Networks (GNNs). GNNs are a category of deep learning models tailored for tasks involving graph-structured data. The provided code enables users to explore and apply GNNs for tasks such as node classification, link prediction, and graph classification.
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- Python
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