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Repository for benchmarking graph neural networks
The BusTub Relational Database Management System (Educational)
Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"
Codes for paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'
A library for graph deep learning research
This is the code for the Paper: Disentangled Graph Neural Networks for Session-based Recommendation
The source code for "Global Context Enhanced Graph Neural Network for Session-based Recommendation".
The paper author has released the source code as following https://github.com/CCIIPLab/GCE-GNN
😻 Convert any video file to an optimized animated GIF.
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
Heterogeneous Graph Neural Network
The source code of HeCo
Strategies for Pre-training Graph Neural Networks
ProxySR (Unsupervised Proxy Selection for Session-based Recommender Systems, SIGIR'21)
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
A unified, comprehensive and efficient recommendation library
https://www.kaggle.com/retailrocket/ecommerce-dataset
SASRec: Self-Attentive Sequential Recommendation
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
python code for the paper "SEDGN: Sequence Enhanced Denoising Graph Neural Network for Session-based Recommendation"
Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
This is a repo containing recent papers related to temporal (sequential) recommender system
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.