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All about GBRS LAB

All about GBRS LAB 소개

GBRS LAB(그래프 기반 추천시스템 랩)은 '그래프 기반으로 멋진 추천시스템 알고리즘'을 만드는 것을 목표로 합니다. GNN이나 Knowledge Graph 기반의 다양한 추천시스템 논문을 리뷰하며 깊게 생각해보고 새로운 연구를 설계하고 진행하는 과정을 나눕니다.

All about GBRS LAB 목표

GBRS는 추천시스템에 활용되는 그래프와 관계된 지식이 담긴 다양한 source를 읽고 이해합니다. 내공이 쌓이면 삼삼오오 모여 연구를 진행합니다. 그 과정에서 현업과 연구에 모두 필요한 역량을 기릅니다.
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자료
발표자
대분류
세분류
학회
연도
main
2022/01/08
1주차
GBRS LAB_1주차 만남.pdf
김상원
1주차_과제
특강 요약(각자)
Open
모두
2022/01/15
2주차
NGCF
Open
https://arxiv.org/abs/1905.08108
NGCF.pdf
이현인
GCN
알고리즘
2022/01/15
2주차
PinSage
Open
https://arxiv.org/pdf/1806.01973.pdf
PinSage 리뷰.pdf
김현우
GraphSage
알고리즘
2022/01/15
2주차
LightGCN
Open
https://arxiv.org/pdf/2002.02126.pdf
[이은경] lightGCN.pdf
이은경
GCN
경량화
2주차
추천시스템의 평가지표
Open
2주차
추천시스템 논문의 데이터셋
Open
2022/01/22
3주차
KGAT: Knowledge Graph Attention Network for Recommendation
Open
https://arxiv.org/pdf/2001.10167.pdf
KGAT.pdf
임진수
KnowledgeGraph
알고리즘
KDD
2019
2022/01/22
3주차
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Open
https://arxiv.org/pdf/2001.10167.pdf
LR-GCCF_변호윤.pdf
변호윤
GCN
Applications
AAAI
2020
2022/01/22
3주차
Knowledge Graph의 기본개념
Open
2022/01/29
4주차
CS224W Study로 대체
Open
2022/02/05
5주차
Knowledge Graph Convolution Networks for Recommendation systems
Open
Knowledge_Graph_Convolutional_Networks_for_Recommender_Systems.pdf
KGCN.pptx
조아
KnowledgeGraph
알고리즘
WWW
2019
2022/02/05
5주차
Explainable Reasoning over Knowledge Graphs for Recommendation
Open
https://arxiv.org/abs/1811.04540
Explainable Reasoning over Knowledge Graphs for Recommendation_김주연.pdf
김주연
KnowledgeGraph
알고리즘
AAAI
2019
2022/02/12
6주차
Inductive Matrix Completion Based on Graph Neural Networks
Open
IGMC.pdf
이영수
Graph-level GNN
알고리즘
CIKM
2021
2022/02/12
6주차
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
Open
MKR_0212.pdf
김정규
KnowledgeGraph
Graph Embedding
WWW
2019
2022/02/19
7주차
Neural Graph Matching based Collaborative Filtering
Open
https://arxiv.org/pdf/2105.04067.pdf
강석우
SIGIR
2021
2022/02/19
7주차
GRAPH-BERT
Open
https://arxiv.org/pdf/2001.05140.pdf
참고용(not 추천논문)
2022/02/26
8주차
Self-supervised graph learning for recommendation
Open
Self-supervised graph learning for recommendation.pdf
https://dl.acm.org/doi/abs/10.1145/3404835.3462862
김현우
GCN
Self-Supervised Learning
SIGIR
2022/02/26
8주차
Sequential Recommendation with Graph Neural Networks
Open
https://arxiv.org/pdf/2106.14226.pdf
SURGE.pdf
변호윤
GCN
Sequential
SIGIR
2021
2022/03/05
9주차
Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph
Open
Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph_김주연.pdf
https://dl.acm.org/doi/pdf/10.1145/3437963.3441773
김주연
KnowledgeGraph
Self-Supervised Learning
WSDM
2021
2022/03/05
9주차
Knowledge Graph Attention for Sequential Recommendations
Open
Knowledge Graph Attention for Sequential Recommendations.pdf
이은경
KnowledgeGraph
Sequential
ACM
2021
2022/03/12
10주차
Self-Supervised Graph Co-Training for Session-based Recommendation
Open
CoTREC.pdf
https://arxiv.org/pdf/2108.10560.pdf
임진수
Session
CIKM
2021
2022/03/12
10주차
Learning Intents behind Interactions with Knowledge Graph for Recommendation
Open
https://arxiv.org/pdf/2102.07057.pdf
김정규
KnowledgeGraph
WWW
2021
2022/03/19
11주차
DGCN: Diversified Recommendation with Graph Convolutional Networks
Open
DGCN.pdf
조아
WWW
2021
2022/03/19
11주차
Price-aware Recommendation with Graph Convolution Networks
Open
Pup.pdf
PUP_리뷰_강석우.pdf
강석우
ICDE
2020
2022/03/26
12주차
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation
Open
UltraGCN Ultra Simplification of Graph Convolutional Networks for Recommendation.pdf
Ultra-GCN 이영수.pdf
이영수
GCN
경량화
CIKM
2022/03/26
12주차
Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation
Open
https://arxiv.org/abs/2112.13197
김상원
Session
WSDM
2022
COUNT27

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