seongjinahn Goto Github PK
Name: sssjjjaaa
Type: User
Company: Korea Advanced Institute of Science and Technology (KAIST)
Bio: 고수되고싶당
Location: Daejeon, Republic of Korea
Name: sssjjjaaa
Type: User
Company: Korea Advanced Institute of Science and Technology (KAIST)
Bio: 고수되고싶당
Location: Daejeon, Republic of Korea
Using Autoencoders for Knowledge Graph Embedding
Reading list for the Advanced Machine Learning Course
Pytorch_AFM
Google, Naver multiprocess image web crawler (Selenium)
The most cited deep learning papers
A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).
Biosynthesis Navigator for Natural Products
BPR & APR
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
연구실 홈페이지 제작
Diffusion based transformer, in PyTorch (Experimental).
code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
Differentially-private Wasserstein GAN implementation in PyTorch
Dual Adversarial Autoencoder for Generating Set-valued Sequences
code for the paper: "A simple and powerful GNN for directed labeled graphs"
Implementation of Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference
Representation Learning for Heterogeneous Information Networks via Embedding Events
PyTorch and PyTorch geometric based implementation of Graph Convolutional Matrix Completion.
Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2020).
Probabilistic time series modeling in Python
Graph Representation Learning via Graphical Mutual Information Maximization
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
Repository for Graph MLP-Mixer
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.