Chen Xu's repositories
Simplified_DMC
A simplified version for DMC (Deep Multimodal Clustering for Unsupervised Audiovisual Learning)
SEAL
SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".
graph-ter
An official PyTorch implementation of the CVPR2020 paper "GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations".
DropEdge
This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Multi-View-Information-Bottleneck
Implementation of Multi-View Information Bottleneck
recommenders
Best Practices on Recommendation Systems
CNN-VAE
Variational Autoencoder (VAE) implementation in pytorch
CMC
pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"
hetsann
Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.
awsome-domain-adaptation
A collection of AWESOME things about domian adaptation
HAN
Heterogeneous Graph Neural Network
Graph_Transformer_Networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
VAE_gumble_softmax
pytorch implementation of VAE-Gumble-Softmax
Domain-generalization
All about domain generalization
MCRec
Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"
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)
sword-for-offer
使用Python3用优雅的方式实现《剑指Offer》中的题目。
GAN-based-Recommender-System
State-of-the-art Papers on GAN-based Recommender System (2017~2019)
S2V
ICLR 2018 Quick-Thought vectors
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
awesome-knowledge-distillation
Awesome Knowledge Distillation
cross-domain-disen
Cross-domain disentanglement network
LANE
Label Informed Attributed Network Embedding, WSDM 2017
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
AIX
Notes and paper reports for machine learning
SGC
official implementation for the paper "Simplifying Graph Convolutional Networks"
Research-Line
A paper list of my research line, welcome to discuss with me.