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lightgcn

lightgcn-pytorch

The PyTorch implementation of LightGCN

lightmove

likemind

Character targeted social network

llae

Low-Rank Linear Autoencoder, LLAE, AAAI 2019, From Zero-Shot Learning to Cold-Start Recommendation

lr-gccf

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

lstm-attention

LSTM-Attention

lstm-crf-pytorch

LSTM-CRF in PyTorch

lstm_attention

attention-based LSTM/Dense implemented by Keras

lstm_rnn_tutorials_with_demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

lstnet

A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper

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.

m

machine_learning_papers

机器学习相关论文

magellan

Analysis of GPS location data.

mahan_tcss

Memory Augmented Hierarchical AttentionNetwork for Next POI Recommendation

malmcs

Dynamic Public Resource Allocation based on Human Mobility Prediction (UbiComp'20)

mapconstruction

Map Construction Algorithms

mcrec

Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"

mecos-tf

Meta-learning-based Cold-Start Sequential Recommendation

meta-gnn

metacdr

metaembedding

Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"

metahin

Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"

metakg

Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.

metatl

Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)

mfgan

Implementation of MFGAN: Sequential Recommendation with Self-Attentive Multi-Adversarial Network

mgcnn

Multi-Graph Convolutional Neural Networks

mifn

This is the our implementation for the paper: Exploring Mixed Information Flow for Cross-domain Sequential Recommendations

mifn-1

❤️ This is an unofficial Tensorflow implementation of TKDD'22 paper MIFN: Exploring Mixed Information Flow for Cross-domain Sequential Recommendations.