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Beibei's Projects

gae icon gae

Implementation of Graph Auto-Encoders in TensorFlow

gat icon gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

geniepath-pytorch icon geniepath-pytorch

This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)

ggnn icon ggnn

Gated Graph Sequence Neural Networks

ggnn.pytorch icon ggnn.pytorch

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN) and Residual Gated Graph ConvNets (RGGC) for FYP

gnn4cd icon gnn4cd

Supervised community detection with line graph neural networks

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

graph2vec icon graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

graphlearning icon graphlearning

Python package for graph-based clustering and semi-supervised learning

graphmap icon graphmap

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:

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

graphstone icon graphstone

An implementation of "Graph Structural-topic Neural Network"

gsat icon gsat

[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

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