- 전체보기(17)
- GNN(5)
- CS224W(5)
- Time Series(4)
- ssl(3)
- CL(3)
- Locomotion(2)
- RL(2)
- Robotics(1)
- Adversarial attack(1)
- drug discovery(1)
- project(1)
[ICML '18] Graph Networks as Learnable Physics Engines for Inference and Control
Graph Networks as Learnable Physics Engines for Inference and Control 논문 리뷰
[ICLR '18] NerveNet: Learning Structured Policy with Graph Neural Networks
NerveNet
Stanford CS224W 5강 정리 - Message Passing and Node Classification
Stanford CS224W 5강 정리
[WWW '22] Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
[WWW '22] Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
[SIGIR '22] Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation
[SIGIR '22] Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation
[SIGIR '21] Self-supervised Graph Learning for Recommendation
[SIGIR '21] Self-supervised Graph Learning for Recommendation
[AAAI '21] Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
[AAAI '21] Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Stanford CS224W 2강 정리 - Traditional Methods for Machine Learning in Graphs
CS224W 2강 정리
[Project 1] 차량 번호판 인식 어플리케이션 제작
2021.02 ~ 2021.09에 진행했던 차량 번호판 인식 어플리케이션 제작 프로젝트 정리
[AAAI '19] A Deep Neural network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
[AAAI '19] A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data 논문 정리
[ICDM '20] Multivariate Time-Series Anomaly Detection via Graph Attention Network
[ICDM '20] Multivariate Time-Series Anomaly Detection via Graph Attention Network 논문 정리
[NeurIPS '21] Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
[NeurIPS '21] Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation 논문 정리