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sssjjjaaa's Projects

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Using Autoencoders for Knowledge Graph Embedding

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Reading list for the Advanced Machine Learning Course

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Google, Naver multiprocess image web crawler (Selenium)

bane icon bane

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

capsgnn icon capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

clustergcn icon clustergcn

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

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Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

digress icon digress

code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

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Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

dpwgan icon dpwgan

Differentially-private Wasserstein GAN implementation in PyTorch

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Dual Adversarial Autoencoder for Generating Set-valued Sequences

edgnn icon edgnn

code for the paper: "A simple and powerful GNN for directed labeled graphs"

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Implementation of Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference

event2vec icon event2vec

Representation Learning for Heterogeneous Information Networks via Embedding Events

gcmc icon gcmc

PyTorch and PyTorch geometric based implementation of Graph Convolutional Matrix Completion.

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Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2020).

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Probabilistic time series modeling in Python

gmi icon gmi

Graph Representation Learning via Graphical Mutual Information Maximization

grace icon grace

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

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