CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation

18 March 2024

Papers citing "CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation"

50 / 51 papers shown

Title
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Zhining Liu Ze Yang Xiao Lin Ruizhong Qiu Tianxin Wei Yada Zhu Hendrik Hamann Jingrui He Hanghang Tong AI4TS 77 0 0 24 May 2025
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 84 22 0 30 Mar 2024
Automated Contrastive Learning Strategy Search for Time Series Baoyu Jing Yansen Wang Guoxin Sui Jing Hong Jingrui He Yuqing Yang Dongsheng Li Kan Ren AI4TS 70 8 0 19 Mar 2024
Deep Learning for Multivariate Time Series Imputation: A Survey Jun Wang Wenjie Du Yiyuan Yang Linglong Qian Wei Cao Yuxuan Liang Wenjia Wang Yuxuan Liang Qingsong Wen AI4TS SyDa BDL 86 43 0 06 Feb 2024
Hierarchical Multi-Marginal Optimal Transport for Network Alignment Zhichen Zeng Boxin Du Si Zhang Yinglong Xia Zhining Liu Hanghang Tong OT 52 19 0 06 Oct 2023
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection Jing Ma Chen Chen A. Vullikanti Ritwick Mishra Gregory R. Madden Daniel Borrajo Jundong Li CML 64 4 0 17 Jul 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders Dingsu Wang Yuchen Yan Ruizhong Qiu Yada Zhu Kaiyu Guan A. Margenot Hanghang Tong AI4TS 79 32 0 29 May 2023
STERLING: Synergistic Representation Learning on Bipartite Graphs Baoyu Jing Yuchen Yan Kaize Ding Chanyoung Park Yada Zhu Huan Liu Hanghang Tong SSL 56 19 0 25 Jan 2023
Granger causal inference on DAGs identifies genomic loci regulating transcription Rohit Singh Alexander P. Wu Bonnie Berger CML 51 17 0 18 Oct 2022
CLEAR: Generative Counterfactual Explanations on Graphs Jing Ma Ruocheng Guo Saumitra Mishra Aidong Zhang Jundong Li CML OOD 68 54 0 16 Oct 2022
Learning Causal Effects on Hypergraphs Jing Ma Mengting Wan Longqi Yang Jundong Li Brent J. Hecht J. Teevan CML 51 49 0 07 Jul 2022
COIN: Co-Cluster Infomax for Bipartite Graphs Baoyu Jing Yuchen Yan Yada Zhu Hanghang Tong 65 21 0 31 May 2022
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations Ivan Marisca Andrea Cini Cesare Alippi AI4TS 63 67 0 26 May 2022
Adversarial Graph Contrastive Learning with Information Regularization Shengyu Feng Baoyu Jing Yada Zhu Hanghang Tong 50 66 0 14 Feb 2022
Causal Attention for Interpretable and Generalizable Graph Classification Yongduo Sui Xiang Wang Jiancan Wu Min Lin Xiangnan He Tat-Seng Chua CML OOD 59 158 0 30 Dec 2021
Graph Communal Contrastive Learning Bolian Li Baoyu Jing Hanghang Tong 51 58 0 28 Oct 2021
Deeper-GXX: Deepening Arbitrary GNNs Lecheng Zheng Dongqi Fu Ross Maciejewski Jingrui He 43 11 0 26 Oct 2021
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning Baoyu Jing Shengyu Feng Yuejia Xiang Xi Chen Yu Chen Hanghang Tong 118 28 0 08 Sep 2021
Multiplex Graph Neural Network for Extractive Text Summarization Baoyu Jing Zeyu You Tao Yang Wei Fan Hanghang Tong 71 43 0 29 Aug 2021
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks Andrea Cini Ivan Marisca Cesare Alippi AI4TS AI4CE 65 111 0 31 Jul 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation Y. Tashiro Jiaming Song Yang Song Stefano Ermon BDL DiffM 51 540 0 07 Jul 2021
Neural graphical modelling in continuous-time: consistency guarantees and algorithms Alexis Bellot K. Branson M. Schaar CML AI4TS 61 46 0 06 May 2021
Causal Attention for Vision-Language Tasks Xu Yang Hanwang Zhang Guojun Qi Jianfei Cai CML 94 153 0 05 Mar 2021
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang Chunyan Miao Xiansheng Hua Hanwang Zhang CML 234 176 0 02 Mar 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 214 196 0 01 Mar 2021
HDMI: High-order Deep Multiplex Infomax Baoyu Jing Chanyoung Park Hanghang Tong 129 167 0 15 Feb 2021
NRTSI: Non-Recurrent Time Series Imputation Siyuan Shan Yang Li Junier B. Oliva AI4TS 63 36 0 05 Feb 2021
Multi-Time Attention Networks for Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 159 194 0 25 Jan 2021
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations Zijie Huang Yizhou Sun Wei Wang AI4CE 42 73 0 08 Nov 2020
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method Fuli Feng Weiran Huang Xiangnan He Xin Xin Qifan Wang Tat-Seng Chua GNN CML 49 63 0 22 Oct 2020
Two Causal Principles for Improving Visual Dialog Jiaxin Qi Yulei Niu Jianqiang Huang Hanwang Zhang CML 69 148 0 24 Nov 2019
Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality Saurabh Khanna Vincent Y. F. Tan AI4TS 60 72 0 22 Nov 2019
Variational Autoencoders and Nonlinear ICA: A Unifying Framework Ilyes Khemakhem Diederik P. Kingma Ricardo Pio Monti Aapo Hyvarinen OOD 71 595 0 10 Jul 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 226 4,339 0 06 Mar 2019
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation Yukai Liu Rose Yu Stephan Zheng Eric Zhan Yisong Yue BDL AI4TS 62 116 0 30 Jan 2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Yoshua Bengio T. Deleu Nasim Rahaman Nan Rosemary Ke Sébastien Lachapelle O. Bilaniuk Anirudh Goyal C. Pal CML OOD 104 334 0 30 Jan 2019
Self-Attentive Sequential Recommendation Wang-Cheng Kang Julian McAuley HAI BDL 163 2,437 0 20 Aug 2018
BRITS: Bidirectional Recurrent Imputation for Time Series Wei Cao Dong Wang Jian Li Hao Zhou Lei Li Yitan Li AI4TS 53 620 0 27 May 2018
Spatio-Temporal Data Mining: A Survey of Problems and Methods G. Atluri Anuj Karpatne Vipin Kumar AI4TS 50 274 0 13 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,138 0 30 Oct 2017
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training Murat Kocaoglu Christopher Snyder A. Dimakis S. Vishwanath GAN OOD 79 254 0 06 Sep 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 701 131,652 0 12 Jun 2017
The Statistical Recurrent Unit Junier B. Oliva Barnabás Póczós J. Schneider 53 50 0 01 Mar 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 334 5,364 0 03 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 297 20,023 0 07 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 623 29,051 0 09 Sep 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 413 10,494 0 21 Jul 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 308 1,936 0 06 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014