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GAMENet : Graph Augmented MEmory Networks for Recommending Medication Combination
State-of-the-art Papers on GAN-based Recommender System (2017~2020)
The implementation of "Gated Attentive-Autoencoder for Content-Aware Recommendation"
Gated CNN
A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.
This paper proposes a novel hybrid approach for stock price prediction. Stock price prediction implies telling whether a particular stock price will go up or down on a certain day. The model proposed in this paper uses Gated Recurrent Units to take into account the sequential nature of days, which is not handled by CNNs. However, the CNN is used to capture relationships between long term and short term stock patterns. Finally we have a simple feedforward neural network which learns the weights to be given to the CNN prediction and the weight to be given to the GRU prediction.
Keras implementation of βGated Linear Unit β
An implementation trying to reproduce "Graph contextualized self-attention network for session-based recommendation" based on SR-GNN code.
Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference
Language Modeling with Gated Convolutional Networks
This is the repository for our CIKM 2021 publication: Graph Enhanced Attention Network for Explanable POI Recommendation.
Code for KDD '20 paper "Geography-Aware Sequential Location Recommendation"
This is our Tensorflow implementation for "Graph-based Embedding Smoothing for Sequential Recommendation" (GES) (TKDE, 2021).
PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.
An index of recommendation algorithms that are based on Graph Neural Networks.
Recent papers on Graph Neural Networks-based Recommender System.
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
Must-read papers on graph neural networks (GNN)
The dataset of the sample of 100 Twitter accounts used in an experiment for location estimation
Ruby wrapper for the Gowalla API.
A simple visualization of Gowalla dataset.
Demonstration code for Scalable Probabilistic Matrix Factoriztion with Graph-Based Priors
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.