zpengc

zpengc's Stars

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.8k687

• reczoo/RecBox

  A box of core libraries for recommendation model development

  Language:Python8718

• reczoo/RecZoo

  A curated model zoo for recommendation tasks

  Language:Python15136

• pengshiqi/Dongqiudi

  Crawl and analysis of Dongqiudi App.

  Language:Python114

• bayoumi17m/SW-matching-markets

  [WWW '22] Optimizing Rankings for Recommendation in Matching Markets

  Language:Python94

• juzstu/TianChi_ZhiLianZhaoPin

  第二届阿里巴巴大数据智能云上编程大赛-智联招聘人岗智能匹配

  Language:TSQL6328

• xuChenSJTU/SAT-master-link-prediction

  This is a Pytorch implementation of our ``Learning on Attribute-Missing Graphs''

  Language:Python2

• xuChenSJTU/SAT-master-online

  This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".

  Language:Python285

• joeybose/Flexible-Fairness-Constraints

  Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"

  Language:Python4718

• kyriemao/TagGNN-SIGIR

  This repository contains the code of our SIGIR 2020 paper "Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach"

  Language:Python6

• AaronHeee/RecFormer

  Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.

  Language:Python6222

• tsafavi/codex

  CoDEx: A set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia

  Language:Python14022

• daiquocnguyen/GNN-NoGE

  Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)

  Language:Python506

• amazon-science/gnn-tail-generalization

  Language:Python5114

• fxsjy/jieba

  结巴中文分词

  Language:Python32.7k6.7k

• CharyHong/Stopwords

  常用中文停用词表：包含百度停用词表、哈工大停用词表和四川大学机器智能实验室停用词表。还有整理过的英文停用词表以及其他语言的停用词表

  547

• fukien/BiANE

  Codes for our SIGIR'20 paper "BiANE: Bipartite Attributed Network Embedding".

  Language:Python123

• NoahWangc/VCM

  Language:Python11

• spindro/GINN

  Graph Imputation Neural Network

  Language:Python7526

• Roytsai27/awesome-GNN4TDL

  Graph Neural Networks for Tabular Data Learning (GNN4TDL)

  507

• dhanajitb/GAIN-Pytorch

  Pytorch implementation of GAIN for missing data imputation

  Language:Jupyter Notebook6125

• victorchen96/MadGap

  Releated Paper: (AAAI2020) Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View.

  Language:Python212

• yf-li15/AutoIntent

  The pytorch implementation of "Automatically Discovering User Consumption Intents in Meituan" (KDD'22)

  Language:Python3

• dingjingtao/View_enhanced_ALS

  The implementation of VALS

  Language:Java1011

• akaxlh/HCCF

  HCCF, SIGIR 2022

  Language:Python8923

• WonbinKweon/DRE_WWW2020

  Deep Rating Elicitation for New Users in Collaborative Filtering (WWW 2020)

  Language:Jupyter Notebook91

• weiyinwei/HUIGN

  Hierarchical User Intent Graph Network for Multimedia Recommendation

  Language:Python91

• weiyinwei/CLCRec

  Contrastive Learning for Cold-start Recommendation

  Language:Python6313

• THUIR/ACCM

  Attentional Content & Collaborate Model

  Language:Python188

• duxy-me/MTPR

  Experimental codes for the paper 'How to Learn Item Representation for Cold-Start Multimedia Recommendation?'

  Language:Python175