SonYpenG

A-PGNN

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

Advanced_ML

adversarial-recommender-systems-survey

Awesome-Contrastive-Learning-and-Data-Augmentation-RS-Paper-Code

The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems

awesome-deep-learning-papers

The most cited deep learning papers

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

Awesome-Federated-Learning-on-Graph-and-GNN-papers

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

Representation-Learning-on-Heterogeneous-Graph

Representation-Learning-on-Heterogeneous-Graph

RL4Recsys

paper list in the area of reinforcenment learning for recommendation systems

spatio-temporal-paper-list

Spatio-temporal modeling

SonYpenG/Awesome-Contrastive-Learning-and-Data-Augmentation-RS-Paper-Code

The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems

SonYpenG/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

SonYpenG/Awesome-LLM-for-RecSys

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

SonYpenG/awesome-recommend-system-pretraining-papers

Paper List for Recommend-system PreTrained Models

SonYpenG/Awesome-RSPapers

Recommender System Papers

SonYpenG/Book-Mathmatical-Foundation-of-Reinforcement-Learning

This is the homepage of a new book entitled "Mathmatical Foundations of Reinforcement Learning."

SonYpenG/coronavirus-data

This repository contains data on Coronavirus Disease 2019 (COVID-19) in New York City (NYC), from the NYC Department of Health and Mental Hygiene.

SonYpenG/RecSysDatasets

This is a repository of public data sources for Recommender Systems (RS).

SonYpenG/data_science_blogs

A repository to keep track of all the code that I end up writing for my blog posts.

SonYpenG/DataScience_ArtificialIntelligence_Utils

Examples of Data Science projects and Artificial Intelligence use-cases

SonYpenG/datasets

This repo contains datasets used in trainings.

SonYpenG/Datasets-for-Recommender-Systems

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

SonYpenG/GNN-Recommender-Systems

An index of recommendation algorithms that are based on Graph Neural Networks.

SonYpenG/list_of_recommender_systems

A List of Recommender Systems and Resources

SonYpenG/LLM4Rec-Awesome-Papers

A list of awesome papers and resources of recommender system on large language model (LLM).

SonYpenG/Mathematics-for-ML

🧮 A collection of resources to learn mathematics for machine learning

SonYpenG/ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

SonYpenG/Next-POI-Recommendation

SonYpenG/Python

All Algorithms implemented in Python

SonYpenG/RecData

A list of data sets for research on recommender systems

SonYpenG/Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review

Paper List of Pre-trained Foundation Recommender Models

SonYpenG/recsys-datasets

A link to repositories with datasets useful for recommendation tasks

SonYpenG/RecSys2019_DeepLearning_Evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

SonYpenG/RecSysPapers

SonYpenG/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

SonYpenG/RSAlgorithms

Some algorithms about traditional and social recommendation.

SonYpenG/RSPapers

A Curated List of Must-read Papers on Recommender System.

SonYpenG/samples-

A collection of Flutter examples and demos

SonYpenG/Standalone-DeepLearning

2019 KAIST 딥러닝 홀로서기 세미나용 저장소입니다.

SonYpenG/Top-conference-paper-list

A collection of classified and organized top conference paper list.