Pinned Repositories
Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Courses
Currently teaching & learning courses
Deep-Hedging
Graph_Beta_Diffusion
Official Release of the Implementation Of Paper "Beta Diffusion For Graph Generation"
Public-Comment-Impact-On-Acceptance
Source code of a study on the impact of public comments on openreview venue paper's acceptance.
sigvae-torch
A Pytorch implementation of Semi-implicit-graph-variational-auto-encoders
Useful-resources-of-deep-generative-modeling
A collection of awesome github projects in deep generative modeling
VEPM
Source code of NeurIPS 2022 paper *A Variational Edge Partition Model for Supervised Graph Representation Learning*
YH-UtMSB's Repositories
YH-UtMSB/sigvae-torch
A Pytorch implementation of Semi-implicit-graph-variational-auto-encoders
YH-UtMSB/VEPM
Source code of NeurIPS 2022 paper *A Variational Edge Partition Model for Supervised Graph Representation Learning*
YH-UtMSB/Graph_Beta_Diffusion
Official Release of the Implementation Of Paper "Beta Diffusion For Graph Generation"
YH-UtMSB/Public-Comment-Impact-On-Acceptance
Source code of a study on the impact of public comments on openreview venue paper's acceptance.
YH-UtMSB/Useful-resources-of-deep-generative-modeling
A collection of awesome github projects in deep generative modeling
YH-UtMSB/Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
YH-UtMSB/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
YH-UtMSB/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
YH-UtMSB/Courses
Currently teaching & learning courses
YH-UtMSB/Deep-Hedging
YH-UtMSB/fraud-detection-handbook
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
YH-UtMSB/gae-pytorch
Graph Auto-Encoder in PyTorch
YH-UtMSB/ganhacks
starter from "How to Train a GAN?" at NIPS2016
YH-UtMSB/Graph-Neural-Networks-With-Heterophily
This repository contains the resources on graph neural network (GNN) considering heterophily.
YH-UtMSB/LightGCN-PyTorch
The PyTorch implementation of LightGCN
YH-UtMSB/MS-Task-Learning
Implementation of "Major-Subordinate-Task Learning Strategy"
YH-UtMSB/MyData_test
YH-UtMSB/SIVI
An efficient and accurate method to bridge the gap in uncertainty quantification between variational inference and MCMC; Using neural network to capture latent variable dependencies. ICML 2018
YH-UtMSB/sta371g_f17
YH-UtMSB/tensorflow-generative-model-collections
Collection of generative models in Tensorflow
YH-UtMSB/transformer-pytorch-fork-
PyTorch Implementation of "Attention Is All You Need"
YH-UtMSB/USTC-CS-Courses-Resource
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
YH-UtMSB/ustcthesis
LaTeX template for USTC thesis v3.0
YH-UtMSB/ylhe.github.io
The homepage of Yilin He