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Name: Beibei
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Name: Beibei
Type: User
Implementation of Graph Auto-Encoders in TensorFlow
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Sample Code for Gated Graph Neural Networks
Implementation of Graph Convolutional Networks in TensorFlow
This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)
Gated Graph Sequence Neural Networks
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN) and Residual Gated Graph ConvNets (RGGC) for FYP
Supervised community detection with line graph neural networks
Must-read papers on graph neural networks (GNN)
Google Research
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
It provides some typical graph embedding techniques based on task-free or task-specific intuitions.
Pytorch implementation of Graph U-Nets (ICML19)
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
Build Graph Nets in Tensorflow
Python package for graph-based clustering and semi-supervised learning
GraphMap - A highly sensitive and accurate mapper for long, error-prone reads http://www.nature.com/ncomms/2016/160415/ncomms11307/full/ncomms11307.html Note: This was the original repository which will no longer be officially maintained. Please use the new official repository here:
《深入浅出图神经网络:GNN原理解析》配套代码
Representation learning on large graphs using stochastic graph convolutions.
An implementation of "Graph Structural-topic Neural Network"
Graph Visualization Tools
Source Code of GraRep
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
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.