sxf0

sxf0

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sxf0's repositories

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TE-GNN

Codes for 2022 Knowledge-based Systems (KBS) paper "Time Enhanced Graph Neural Networks for Session-based Recommendation"

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CML

The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation

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DHCN

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

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CoCoRec

The official implementation of the CoCoRec algorithm proposed in the paper "Category-aware Collaborative Sequential Recommendation" which is accepted to SIGIR 2021.

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Neural-Attentive-Session-Based-Recommendation-PyTorch

A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)

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DSIN

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

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gme

Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction

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dataset

datasets about recommendation

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GCE-GNN

The source code for "Global Context Enhanced Graph Neural Network for Session-based Recommendation".

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GRU4REC-pytorch

An other implementation of GRU4REC using PyTorch

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RSpaper-read

Share Some Recommender System Paper I read.

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A-PGNN

[TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation"

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TiSASRec.pytorch

https://github.com/JiachengLi1995/TiSASRec in PyTorch

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DFN

Deep Feedback Network for Recommendation

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TAGNN

[SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"

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MGNN-SPred

Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction

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M2GRL

A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"

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MKM-SR

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

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attention-networks-for-classification

Hierarchical Attention Networks for Document Classification in PyTorch

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STAMP

Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation

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