Opening book details…
Can I read Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning on EtoBox?
Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning by Guangqi Wen; Peng Cao; Zhiyong Jin; Ruoxian Song; Xiaoli Liu; Jinzhu Yang; Osmar R. Zaiane is a book available to read on EtoBox.
What is Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning about?
This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023.The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.
- Author
- Guangqi Wen; Peng Cao; Zhiyong Jin; Ruoxian Song; Xiaoli Liu; Jinzhu Yang; Osmar R. Zaiane
- Publisher
- Springer Nature Switzerland AG
- Published
- 2023
- Language
- EN
- ISBN
- 9783031466748
- Subjects
- Science, Mathematics, Education
More by Guangqi Wen; Peng Cao; Zhiyong Jin; Ruoxian Song; Xiaoli Liu; Jinzhu Yang; Osmar R. Zaiane
Similar books
- Effort-Aware Tri-Training for Semi-supervised Just-in-Time Defect Prediction — Wenzhou Zhang; Weiwei Li; Xiuyi Jia (2019)
- Towards Time-Series Key Points Detection Through Self-supervised Learning and Probability Compensation — Mingxu Yuan; Xin Bi; Xuechun Huang; Wei Zhang; Lei Hu; George Y. Yuan; Xiangguo Zhao; Yongjiao Sun (2023)
- Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models — Hugo Tamoto; Rodrigo Colnago Contreras; Franciso Lledo dos Santos; Monique Simplicio Viana; Rafael dos Santos Gioria; Cleyton de Carvalho Carneiro (2023)
- SPeCiaL: Self-supervised Pretraining for Continual Learning — Lucas Caccia; Joelle Pineau (2022)
- FastSiam: Resource-Efficient Self-supervised Learning on a Single GPU — Daniel Pototzky; Azhar Sultan; Lars Schmidt-Thieme (2022)
- OD-Enhanced Dynamic Spatial-Temporal Graph Convolutional Network for Metro Passenger Flow Prediction — Lei Ren; Jie Chen; Tong Liu; Hang Yu (2023)