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A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)
This repository contains the code to the paper "MVAE: Multimodal Variational Autoencoder for Fake News Detection"
Neural Collaborative Filtering
PyTorch Implementation for Neural Graph Collaborative Filtering
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)
Strategies for Pre-training Graph Neural Networks
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
Representation learning on large graphs using stochastic graph convolutions.
The source code and dataset for the RecGURU paper (WSDM 2022)
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.
Source code for "SelfCF: A Simple Framework for Self-supervised Collaborative Filtering"
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
Transformer seq2seq model, program that can build a language translator from parallel corpus
[KDD22] Official PyTorch implementation for "Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning".
[KDD22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".
Variational Autoencoders for Collaborative Filtering - Implementation in PyTorch
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.