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A curated list of adversarial attacks and defenses papers on graph-structured data.
links to conference publications in graph-based deep learning
Source code of Graph-Bert
The Code Examples and Notebooks for The Practitioners Guide to Graph Data
A curated list of fraud detection papers using graph information or graph neural networks
Graph kernels
graph-learn
Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"
Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"
An official PyTorch implementation of the CVPR2020 paper "GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations".
Code for the paper ``Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model''
Transformer for Graph Classification (in Pytorch and Tensorflow)
graph wavenet
Code for Graph-to-Tree Learning for Solving Math Word Problems (ACL 2020)
This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP
This repo is to present various code demos on how to use our Graph4NLP library.
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
Implementation and experiments of graph embedding algorithms.
Microsoft Graph Engine
A repository for the graph finger print comparison code, written in python and graph-tool.
GraphGallery is a gallery of state-of-the-art Graph Neural Networks (GNNs) for TensorFlow 2.x and PyTorch.
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
Learn computer graphics by writing GPU shaders!
GraphiQL & the GraphQL LSP Reference Ecosystem for building browser & IDE tools.
Evaluation and comparison tool for different graph kernels
The official implementation of Graph Normalization
Learning Graph Normalization for Graph Neural Networks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.