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When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?
26 August 2021
Xu Liu
Yuxuan Liang
Chao Huang
Yu Zheng
Bryan Hooi
Roger Zimmermann
AI4TS
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Papers citing
"When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?"
7 / 7 papers shown
Title
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
15
0
30 Jan 2024
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
Hyun Ryu
Sunjae Yoon
Hee Suk Yoon
Eunseop Yoon
Changdong Yoo
AI4TS
22
2
0
10 Dec 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Yuxuan Liang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
33
117
0
16 Oct 2023
Data Augmentation on Graphs: A Technical Survey
Jiajun Zhou
Chenxuan Xie
Shengbo Gong
Z. Wen
Xiangyu Zhao
Qi Xuan
Xiaoniu Yang
AI4TS
16
8
0
20 Dec 2022
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
Iterative Graph Self-Distillation
Hanlin Zhang
Shuai Lin
Weiyang Liu
Pan Zhou
Jian Tang
Xiaodan Liang
Eric P. Xing
SSL
52
33
0
23 Oct 2020
Self-supervised Co-training for Video Representation Learning
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
209
308
0
19 Oct 2020
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