104 Open source projects that are alternatives of or similar to OpenHGNN

Visualization tool for Graph Neural Networks

Implementation of Directional Graph Networks in PyTorch and DGL

Code of the NeurIPS 2021 paper: Language and Visual Entity Relationship Graph for Agent Navigation

A curated list of awesome graph & self-supervised-learning-based recommendation.

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Pytorch differentiable molecular dynamics

Representation Learning on Graphs with Jumping Knowledge Networks

Learning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )

Geometric Deep Learning for Flux

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

Tutorials for Machine Learning on Graphs

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

Awesome Graph Self-Supervised Learning

Probabilistic Type Inference using Graph Neural Networks

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

Representing Long-Range Context for Graph Neural Networks with Global Attention

Subgraph Neural Networks (NeurIPS 2020)

The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba 来自阿里巴巴的一站式大规模图计算系统 图分析 图查询 图机器学习

Code and resources on scalable and efficient Graph Neural Networks

Set of PyTorch modules for developing and evaluating different algorithms for embedding trees.

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

AAAI'21: Data Augmentation for Graph Neural Networks

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

Graph-based machine learning for chemical property prediction

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Supervised community detection with line graph neural networks

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

Summary of social recommendation papers and codes

Message Passing Neural Networks for Simplicial and Cell Complexes

Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Locally Private Graph Neural Networks (ACM CCS 2021)

Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

Code for the CHAMPS Predicting Molecular Properties Kaggle competition

This is a Pytorch implementation of GraphLIME

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

A spherical CNN for weather forecasting

This is the Chinese manual of the graph neural network library DGL, currently contains the User Guide.

Demo of RouteNet in ACM SIGCOMM'19

Reimplementation of Graph Embedding methods by Pytorch.

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022