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Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.
Google AI 2018 BERT pytorch implementation
CRAN package for estimating various rank (centrality) measures of nodes in bipartite graphs (two-mode networks).
A pytorch implementation for BPR (Bayesian Personalized Ranking).
Bootstrapping User and Item Representations for One-Class Collaborative Filtering
Contrastive Learning for Cold-start Recommendation
DeepWalk - Deep Learning for Graphs
Disentagnled Graph Collaborative Filtering, SIGIR2020
Code for Deep Multimodal Clustering for Unsupervised Audiovisual Learning (CVPR2019)
Deep Multi-Graph Clustering via Attentive Cross-Graph Association
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models (ACL 2022)
Implementation of Graph Auto-Encoders in TensorFlow
AAAI'21: Data Augmentation for Graph Neural Networks
Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
The source code of HeCo
Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"
Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
code of HetGNN
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
The PyTorch implementation of LightGCN
Unify Efficient Fine-Tuning of 100+ LLMs
Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)
This project is the source code for Multimodal Graph Attention Network(MGAT). The source code will be available on the acceptance of the paper.
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.