98 Open source projects that are alternatives of or similar to H-GCN

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

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

Graph-based machine learning for chemical property prediction

Reimplementation of Graph Embedding methods by Pytorch.

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

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.

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

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

Message Passing Neural Networks for Simplicial and Cell Complexes

A spherical CNN for weather forecasting

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

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

AAAI'21: Data Augmentation for Graph Neural Networks

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

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

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

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

A spherical convolutional neural network for cosmology (TFv1).

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

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

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

This is a Pytorch implementation of GraphLIME

Code and resources on scalable and efficient Graph Neural Networks

Locally Private Graph Neural Networks (ACM CCS 2021)

Tutorials for Machine Learning on Graphs

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).

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

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

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

An index of recommendation algorithms that are based on Graph Neural Networks.

Geometric Deep Learning for Flux

Awesome Graph Self-Supervised Learning

[COLING 2020] Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis

Pytorch differentiable molecular dynamics

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

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

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

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

Probabilistic Type Inference using Graph Neural Networks

Subgraph Neural Networks (NeurIPS 2020)

A reading list for deep graph learning acceleration.

Summary of social recommendation papers and codes

Representation Learning on Graphs with Jumping Knowledge Networks

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

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

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

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

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

Papers about explainability of GNNs

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

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

Code for the CHAMPS Predicting Molecular Properties Kaggle competition

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

🔨 🍇 💻 🚀 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

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

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

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

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