yaochenzhu Goto Github PK

awesome-books-for-causality

Books and posts to understand Pearl and Rubin's view on causality and their disputes.

awesome-causality-algorithms

An index of algorithms for learning causality with data

cvae

Re-implementation of collaborative variational auto-encoder (CVAE) in tensorflow.keras. (KDD'17, Li & She)

deep-deconf

Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)

llm4rec

(WWW'24) The first RS that tightly combines LLM with ID-based RS.

md-cvae

Official codes of "Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems" (WWW'22)

mmdqen

Multimodal deep quality embedding network (MMDQEN) for affective video content analysis. (MM'19, TAFFC'20)

mmved

Official codes of paper "multimodal deep variational information bottleneck for micro-video popularity prediction". (WWW'20)

psf-vae

Official codes of "Path-Specific Counterfactual Fairness for Recommender System (PSF-VAE)". (KDD'23)

pygdebias

Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms

vbae

Official codes of "Collaborative variational bandwidth auto-encoder (VBAE) for recommender systems". (TKDE'22)

web_page

my personal web page

whu-rsie-master-thesis

武汉大学遥感信息工程学院硕士研究生毕业论文 LaTeX 模板

yaochenzhu