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an-attention-based-spatiotemporal-lstm-network-for-next-poi-recommendation

A python vision code of An Attention-based Spatiotemporal LSTM Network for Next POI Recommendation

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepmove

Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network

drcf

drug_package_generation

flashback_code

graph-flashback

graphrec-www19

Graph Neural Networks for Social Recommendation, WWW'19

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

lightgcn

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.

neural_graph_collaborative_filtering

Neural Graph Collaborative Filtering, SIGIR2019

plspl

Personalized long-and short-term preference learning for next POI recommendation. TKDE'20

poi-recommendation

Papers and resources about POI recommendation. | 兴趣点推荐相关论文、模型和资源。

sgan

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

sgl

sli_rec

sparse_attention

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

st-lstm_pytorch

ST-LSTM network implemented using PyTorch.

strnn

Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts

time_lstm