jiaqinglin Goto Github PK

a3ncf

a3ncf-1

Implementation for Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews.

adversarialnetspapers

The classical papers and codes about generative adversarial nets

aligraph

Large Scale Graphical Model

anr

Code for our CIKM 2018 paper titled "ANR: Aspect-based Neural Recommender"

attentional_factorization_machine

TensorFlow Implementation of Attentional Factorization Machine

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

deep-learning-with-python

《Python深度学习》书籍代码

deepfm

Implementation of DeepFM using tensorflow.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dkn

A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)

esim

Implementation of the ESIM model for natural language inference with PyTorch

euler

A distributed graph deep learning framework.

gru4rec_tensorflow

TensorFlow implemenation of GRu4Rec model

hahe

HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding

herec

Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"

hexo-theme-next

Elegant theme for Hexo.

hierarchical-attention-networks

Document classification with Hierarchical Attention Networks in TensorFlow

hin2vec

Heterogeneous information network representation learning

hinse

Meta-Graph Based HIN Spectral Embedding

jekyll-blog

jiaqinglin.github.io

This is my blog.

kdd2018_mpcn

Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"

keras-attention-mechanism

Attention mechanism Implementation for Keras.

kprn

Explainable Reasoning over Knowledge Graphs for Recommendation, AAAI2019

ksr

leetcode

mcrec

Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"

metapath2vec

mkr

A tensorflow implementation of Multi-task learning for Knowledge graph enhanced Recommender systems