A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems

18 January 2024

Papers citing "A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems"

23 / 23 papers shown

Title
Heterogeneous Interaction Modeling With Reduced Accumulated Error for Multi-Agent Trajectory Prediction Siyuan Chen Jiahai Wang 88 10 0 28 Oct 2024
Automated Spatio-Temporal Graph Contrastive Learning Qianru Zhang Chao Huang Lianghao Xia Zheng Wang Zhonghang Li Siu-keung Yiu AI4TS 50 49 0 06 May 2023
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs Shenyang Huang Samy Coulombe Yasmeen Hitti Reihaneh Rabbany Guillaume Rabusseau 30 9 0 02 Feb 2023
Self-Supervised Learning for Videos: A Survey Madeline Chantry Schiappa Yogesh S Rawat M. Shah SSL 103 135 0 18 Jun 2022
Raising the Bar in Graph-level Anomaly Detection Chen Qiu Marius Kloft Stephan Mandt Maja R. Rudolph 63 63 0 27 May 2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities Chuang Liu Yibing Zhan Hongzhi Zhang Chang Li Bo Du Wenbin Hu Tongliang Liu Dacheng Tao GNN AI4CE 92 82 0 15 Apr 2022
Graph similarity learning for change-point detection in dynamic networks Déborah Sulem Henry Kenlay Ning Zhang Xiaowen Dong 101 16 0 29 Mar 2022
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming Yizhen Zheng Ming Jin Shirui Pan Yuan-Fang Li Hao Peng Ming Li Zhao‐Rui Li SSL 67 24 0 20 Nov 2021
Understanding Pooling in Graph Neural Networks Daniele Grattarola Daniele Zambon F. Bianchi Cesare Alippi GNN FAtt AI4CE 445 94 0 11 Oct 2021
When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? Xu Liu Yuxuan Liang Chao Huang Yu Zheng Bryan Hooi Roger Zimmermann AI4TS 56 63 0 26 Aug 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Xiaoxiao Ma Hongzhi Zhang Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu GNN AI4TS 82 559 0 14 Jun 2021
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series Ailin Deng Bryan Hooi AI4TS 74 881 0 13 Jun 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 71 258 0 16 May 2021
Learnable Dynamic Temporal Pooling for Time Series Classification Dongha Lee Seonghyeon Lee Hwanjo Yu AI4TS 68 28 0 02 Apr 2021
On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New Insights Lingxiao Zhao Leman Akoglu 83 67 0 23 Dec 2020
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding Shohreh Deldari Daniel V. Smith Hao Xue Flora D. Salim AI4TS 103 111 0 28 Nov 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 106 608 0 18 Jul 2020
Laplacian Change Point Detection for Dynamic Graphs Shenyang Huang Yasmeen Hitti Guillaume Rabusseau Reihaneh Rabbany 42 59 0 02 Jul 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 398 6,844 0 13 Jun 2020
An Evaluation of Change Point Detection Algorithms G. V. D. Burg Christopher K. I. Williams AI4TS 58 175 0 13 Mar 2020
Deep Learning for Spatio-Temporal Data Mining: A Survey Senzhang Wang Jiannong Cao Philip S. Yu AI4TS 87 567 0 11 Jun 2019
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks Junkai Sun Junbo Zhang Qiaofei Li Xiuwen Yi Yuxuan Liang Yu Zheng AI4TS 53 165 0 19 Mar 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 788 8,579 0 03 Jan 2019