넓고 얕게 GNN 기반 추천 훑어보기

Keword: Why GNN?, Survey, GCN, CF, Inductive Learning, Web-Scale, Graph Attention, Knowledge Graph

• Link
• 토론 내용

• Learning and Reasoning on Graph for Recommendation

  • PDF
  • Part1 까지

• Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions

  • Paper, Github
  • Part 3까지

• Paper, 인용수 555이상, SIGIR'19
• video, slide
• Code: torch

• Paper, 인용수 313이상, SIGIR'20
• Resource, Slide
• Code: torch
• 추가자료
  • UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation

• GraphSAGE: Graph SAmpling and aggreGatE

• Paper

• Resource1, Resource2

• PinSage

• Paper

• Resource, Resource2

• 추가자료

  • pixie

• GAT

• Paper

• Resource, Resource2

• 인용수 508회 이상
• Paper, Video
• Code: tf 1.12, torch 1.3

• GNN으로 Cross-Domain 맛보기
  • 발표자료 by 박지민
  • PPGN : Cross-Domain Recommendation via Preference Propagation GraphNet, Paper
• GNN in Session-based Recommendation
  • 발표자료 by 진승욱
  • SR-GNN, Session-based Recommendation with Graph Neural Networks, Paper

• PyG
  • Docs
• Bundle Recommendation with Graph Convolutional Networks
  • paper

• Paper

• Resource

• link