110 Open source projects that are alternatives of or similar to Graph-Embeddding

odr.chalmers.se/handle/20.500.12380/256629?locale=en

Icelandic crossword game website

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

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

links to conference publications in graph-based deep learning

A simple GAE Vue Webapp2 starter project.

Laravel dockerized with official Google App Engine flexible php environment + swoole.

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

Graph Neural Networks with Keras and Tensorflow 2.

Code for the CHAMPS Predicting Molecular Properties Kaggle competition

Demo of RouteNet in ACM SIGCOMM'19

Inductive relation prediction by subgraph reasoning, ICML'20

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

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

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

The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)

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

Run Laravel on Google App Engine

Magento Google App Engine Compatibility

A distributed graph deep learning framework.

CRM for Social Selling, on Google. Integrated with LinkedIn, Twitter, Facebook & Gmail.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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

Summary of open source code for deep learning models in the field of traffic prediction

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).

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

Graph-based Deep Q Network for Web Navigation

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

A GitHub Action that deploys source code to Google App Engine.

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

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Export and migrate your GAE Datastore data to SQL using Golang

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

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

XX-Net-mini: Mini version of XX-Net.

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

在GAE php空间或者在国外apache php空间搭建反向代理

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

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

AAAI'21: Data Augmentation for Graph Neural Networks

Code for the rdm.openlighting.org site

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

StellarGraph - Machine Learning on Graphs

Subgraph Neural Networks (NeurIPS 2020)

Graph Neural Network Library for PyTorch

Code and resources on scalable and efficient Graph Neural Networks

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Pytorch differentiable molecular dynamics

Implementation of Directional Graph Networks in PyTorch and DGL

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

Implementation of "Overlapping Community Detection with Graph Neural Networks"

Summary of social recommendation papers and codes

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

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

Awesome Graph Self-Supervised Learning

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

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

Visualization tool for Graph Neural Networks