GNN-RS-Beginner

넓고 얕게 GNN 기반 추천 훑어보기

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

Table of Contents

• Schedule
  • 1. OT + Understanding Convolutions on Graphs
  • 2. Why GNN for RS? & Survey
  • 3. Neural Graph Collaborative Filtering
  • 4. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
  • 5. Inductive Representation Learning on Large Graphs
  • 6. Graph Convolutional Neural Networks for Web-Scale Recommender Systems
  • 7. Graph Attention Networks
  • 8. KGAT: Knowledge Graph Attention Network for Recommendation
  • 9. Cross Domain & Session based Recommendation
  • 10. Pytorch Geometric & Bundle Recommendation

• Furthermore

진행방식

• Resource를 각자 보고 옵니다.
• 사전에 질문이나 이야기해볼 거리를 Issue에 남깁니다.
• 진행 시간은 1시간을 기본으로 합니다.

Schedule

1. OT + Understanding Convolutions on Graphs

• Link
• 토론 내용

2. Why GNN for RS? & Survey

• Learning and Reasoning on Graph for Recommendation

  • PDF
  • Part1 까지

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

  • Paper, Github
  • Part 3까지

3. Neural Graph Collaborative Filtering

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

4. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

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

5. Inductive Representation Learning on Large Graphs

• GraphSAGE: Graph SAmpling and aggreGatE

• Paper

• Resource1, Resource2

6. Graph Convolutional Neural Networks for Web-Scale Recommender Systems

• PinSage

• Paper

• Resource, Resource2

• 추가자료

  • pixie

7. Graph Attention Networks

• GAT

• Paper

• Resource, Resource2

8. KGAT: Knowledge Graph Attention Network for Recommendation

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

9. Cross Domain & Session based Recommendation

• 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

10. Pytorch Geometric & Bundle Recommendation

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

Furthermore

Semi-Supervised Classification with Graph Convolutional Networks

• Paper

• Resource

[Paper Review] Knowledge graph representation for recommendation

• link