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

A box of core libraries for recommendation model development

A curated model zoo for recommendation tasks

Crawl and analysis of Dongqiudi App.

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

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

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

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

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

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

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

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

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

结巴中文分词

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

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

Graph Imputation Neural Network

Graph Neural Networks for Tabular Data Learning (GNN4TDL)

Pytorch implementation of GAIN for missing data imputation

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

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

The implementation of VALS

HCCF, SIGIR 2022

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

Hierarchical User Intent Graph Network for Multimedia Recommendation

Contrastive Learning for Cold-start Recommendation

Attentional Content & Collaborate Model

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