GNN-DocRetrieval

the AI-native open-source embedding database

Distributed vector search for AI-native applications

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

A pytorch adversarial library for attack and defense methods on images and graphs

Papers about graph transformers.

Papers about explainability of GNNs

Parsing-free RAG supported by VLMs

A scikit-learn compatible library for graph kernels

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".