graph-neural-networks

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

PyTorch Extension Library of Optimized Graph Cluster Algorithms

Papers about graph transformers.

A pytorch library for graph and hypergraph computation.

[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

Papers about explainability of GNNs

Colab Notebooks covering deep learning tools for biomolecular structure prediction and design

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

A python library for social event detection

A Unified Python Library for Graph Prompting

Python library assists deep learning on graphs

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

Deep and conventional community detection related papers, implementations, datasets, and tools.

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

A Euclidean diffusion model for structure-based drug design.

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)