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All about Graph with NLP/RecommenderSystem LAB

GNR LAB 소개

GNR LAB(All about Graph with NLP/RecommenderSystem LAB)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.

GNT LAB 목표

GNR는 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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주차
날짜
논문명
자료
발표자
발표자료
대분류
1주차
2022/04/02
2주차
2022/04/09
Stream of Graph Based Recommender System
Open
2주차
2022/04/09
WSDM 2022 TUTORIAL 논의(질의응답) 공유
Open
3주차
2022/04/16
Seson1 Review : KGAT
Open
3주차
2022/04/16
Season1 Review : KG 자료
Open
3주차
2022/04/16
Season1 Review : Session&Sequential
Open
4주차
2022/04/23
Inductive Matrix Completion Based on Graph Neural Networks
Open
https://arxiv.org/abs/1904.12058
이가연
220423_IGMC_이가연.pdf
GNN
4주차
2022/04/23
AttnIO: Knowledge Graph Exploration with In-and-Out Attention Flow for Knowledge-Grounded Dialogue
Open
https://aclanthology.org/2020.emnlp-main.280/
이천솔
(220423) AttnIO Knowledge Graph Exploration with In-and-Out Attention Flow for Knowledge-Grounded Dialogue(이천솔).pdf
KG
NLP
GAT
5주차
2022/04/30
Learning Intents behind Interactions with Knowledge Graph for Recommendation
Open
https://arxiv.org/pdf/2102.07057.pdf
김정규
KGIN.pdf
KG
5주차
2022/04/30
IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search WWW’22
Open
http://staff.ustc.edu.cn/~hexn/papers/www22-personalized-search.pdf
변호윤
IHGNN_변호윤.pdf
GNN
Search
Hyper-graph
6주차
2022/05/14
Simplifying and Powering Graph Convolution Network for Recommendation : LightGCN
Open
https://arxiv.org/abs/2002.02126
강석우
LightGCN__Simplifying_and_Powering_Graph_Convolution_Network_for_Recommendation_리뷰.pdf
GCN
6주차
2022/05/14
LinkBERT : Pretraining Language Models with Document Links
Open
https://arxiv.org/pdf/1902.10197.pdf
이은경
[이은경] linkbert.pdf
BERT
NLP
7주차
2022/05/21
특강 (kakao 추천팀)
Open
최규민
8주차
2022/05/28
Graph Convolutional Neural Networks for Web-Scale Recommender Systems (PinSAGE)
Open
https://arxiv.org/pdf/1806.01973.pdf
이성규
https://drive.google.com/file/d/1dwLyYQg-F651CsEoA5RwWQUguw-g93BY/view?usp=sharing
8주차
2022/05/28
Do Transformers Really Perform Bad for Graph Representation? : Graphormer
Open
https://arxiv.org/pdf/2106.05234.pdf
박동우
Do Transformers Really Perform Bad for Graph Representation.pdf
Transformers
Graph
9주차
2022/06/04
Know Your Action Set: Learning Action Relations for Reinforcement Learning (ICLR 2022)
Open
https://openreview.net/forum?id=MljXVdp4A3N
이승현
GNN
RL
9주차
2022/06/04
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration(NIPS 2021)
Open
https://proceedings.neurips.cc/paper/2021/file/c7a9f13a6c0940277d46706c7ca32601-Paper.pdf
손수현
GNN
10주차
2022/06/11
11주차
2022/06/18
12주차
2022/06/25
13주차
2022/07/02
learning to extrapolate knowledge transductive few-shot out-of-graph link prediction
Open
https://proceedings.neurips.cc/paper/2020/file/0663a4ddceacb40b095eda264a85f15c-Paper.pdf
14주차
2022/07/09
15주차
2022/07/16

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