Pinned Repositories
BM3
Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23
DGVAE
Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation with Interpretability, IEEE TMM
FREEDOM
ACM MM'23: A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation
IGT-WSDM23
Official Pytorch Code for Inductive Graph Transformer for Delivery Time Estimation, WSDM 2023
ImRec
A Pytorch Recommendation Framework with Implicit Feedback.
JingPingMei-ZhCN
金瓶梅［崇祯版］ A5 双版本
MMRec
A Toolbox for MultiModal Recommendation. Integrating 10+ Models...
MultimodalRecSys
A curated list of awesome resources about multimodal recommender systems.
SelfCF
Source code for "SelfCF: A Simple Framework for Self-supervised Collaborative Filtering". Accepted by ACM TORS.
tGraphAD
Research sources on graph-based anomaly detection
enoche's Repositories
enoche/MMRec
A Toolbox for MultiModal Recommendation. Integrating 10+ Models...
enoche/MultimodalRecSys
A curated list of awesome resources about multimodal recommender systems.
enoche/BM3
Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23
enoche/ImRec
A Pytorch Recommendation Framework with Implicit Feedback.
enoche/SelfCF
Source code for "SelfCF: A Simple Framework for Self-supervised Collaborative Filtering". Accepted by ACM TORS.
enoche/FREEDOM
ACM MM'23: A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation
enoche/JingPingMei-ZhCN
金瓶梅［崇祯版］ A5 双版本
enoche/tGraphAD
Research sources on graph-based anomaly detection
enoche/IGT-WSDM23
Official Pytorch Code for Inductive Graph Transformer for Delivery Time Estimation, WSDM 2023
enoche/DGVAE
Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation with Interpretability, IEEE TMM
enoche/enoche.github.io
Academic website: https://xinzhou.me
enoche/ReCo
[ACL'24 Oral] Code for 'Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search'
enoche/telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.