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multimodal-vae-public

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

mvae

This repository contains the code to the paper "MVAE: Multimodal Variational Autoencoder for Fake News Detection"

neural_collaborative_filtering

Neural Collaborative Filtering

ngcf-pytorch

PyTorch Implementation for Neural Graph Collaborative Filtering

opengcl

pcl

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

ppnp

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

pprgo_pytorch

PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pyhgt

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

pytorch-graphsage

Representation learning on large graphs using stochastic graph convolutions.

recguru

The source code and dataset for the RecGURU paper (WSDM 2022)

rechorus

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

selar

Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.

selfcf

Source code for "SelfCF: A Simple Framework for Self-supervised Collaborative Filtering"

sgl

sr-gnn

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

tanp

[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation

text-autoencoders

transformer

Transformer seq2seq model, program that can build a language translator from parallel corpus

unicrs

[KDD22] Official PyTorch implementation for "Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning".

unisrec

[KDD22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".

vae-cf-pytorch

Variational Autoencoders for Collaborative Filtering - Implementation in PyTorch