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2012.02785
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Unsupervised embedding of trajectories captures the latent structure of scientific migration
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2020
4 December 2020
Dakota Murray
Jisung Yoon
Sadamori Kojaku
Rodrigo Costas
Woo-Sung Jung
Stavsa Milojević
Y. Ahn
Re-assign community
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Papers citing
"Unsupervised embedding of trajectories captures the latent structure of scientific migration"
3 / 3 papers shown
A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction
Yi-Fei Wang
Zhenghong Wang
Fan Zhang
Chengling Tang
Chaogui Kang
...
Sijie Ruan
W. Zhang
Yu Zheng
Philip S. Yu
Yu Liu
AI4CE
359
3
0
16 Jun 2025
Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block Models
Social Network Analysis and Mining (SNAM), 2024
Kazuki Nakajima
Takeaki Uno
375
0
0
01 Jan 2024
Jointly spatial-temporal representation learning for individual trajectories
Fei Huang
Jianrong Lv
Yang Yue
AI4TS
661
9
0
07 Dec 2023
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