Chen Chen's Projects
source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
100+ Chinese Word Vectors 上百种预训练中文词向量
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)
Deep Learning for Weather Forecasting, accepted applied data science of KDD 2019
source code for paper "Deep Incremental Hashing Network for Efficient Image Retrieval" on CVPR-2019
Lantern官方版本下载 蓝灯 翻墙 科学上网 外网 加速器 梯子 路由
implemement of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL_CVPR2016
The source code for "Global Context Enhanced Graph Neural Network for Session-based Recommendation".
PyTorch and PyTorch geometric based implementation of Graph Convolutional Matrix Completion.
Source code of Graph-Bert
Graph Neural Networks for Social Recommendation, WWW'19
PyTorch Codes for Haar Graph Pooling
:octocat:Various hashing methods for image retrieval and serves as the baselines
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM
A tensorflow implementation of Knowledge Graph Convolutional Networks
Models and examples built with TensorFlow
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pytorch implementation of Deep Learning of Binary Hash Codes for Fast Image Retrieval, CVPRW 2015
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"
Must-read papers on Recommender System.
Source code and datasets for the paper "Session-based Recommendation with Graph Neural Networks" (AAAI-19)