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adjustautocorrelation

Adjusting for Autocorrelated Errors in Neural Networks for Time Series

bert4rec

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

bondnet

A graph neural network for the prediction of bond dissociation energies for molecules of any charge.

coserec

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

csdi

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

da-rnn

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

dcap

dct-snn

Code for DCT_SNN, an input encoding scheme for SNNs using DCT

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deepar

An Implementation of DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

deepglo

This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.

dgcn

The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)

dgtn

[ICDMW 2020] Code and dataset for "DGTN: Dual-channel Graph Transition Network for Session-based Recommendation"

dhcn

Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

dnas

DNAS

dsanforaaai2021

e2efold

pytorch implementation for "RNA Secondary Structure Prediction By Learning Unrolled Algorithms"

edua

Code of our paper "Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation" accepted by SIGIR 2021.

fmlp-rec

forec

The implementation of our CIKM 2021 paper titled as: "Cross-Market Product Recommendation"

fpmc

Python implementation of "Factorizing Personalized Markov Chains for Next-Basket Recommendation"

gluon-ts

Probabilistic time series modeling in Python

grcn

Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback

gru4rec

GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

halentnet

hgnn

Hyperbolic Graph Neural Networks

lightgcn

lstnet

lstpm

Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin: Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. AAAI 2020 accepted.

mkm-sr

Incorporating User Micro-behaviors and Item Knowledge 59 60 3 into Multi-task Learning for Session-based Recommendation