【ICLR 2024】时空数据挖掘论文

对ICLR 2024的录用论文进行了整理，筛选出其中与时空数据挖掘相关论文，并进行任务分类，共50篇。

Air Quality Prediction (1) 空气质量预测

1. AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction. https://openreview.net/forum?id=JW3jTjaaAB

Climate Forecasting (1) 气候预测

1. ClimODE: Climate Forecasting With Physics-informed Neural ODEs. https://openreview.net/forum?id=xuY33XhEGR

Dynamic Graph (1) 动态图

1. Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks. https://openreview.net/forum?id=AJBkfwXh3u

Geospatial Knowledge Extraction (1) 地理空间知识提取

1. GeoLLM: Extracting Geospatial Knowledge from Large Language Models. https://openreview.net/forum?id=TqL2xBwXP3

Long-term Time Series Forecasting (2) 长时间序列预测

1. Periodicity Decoupling Framework for Long-term Series Forecasting. https://openreview.net/forum?id=dp27P5HBBt
2. Self-Supervised Contrastive Forecasting. https://openreview.net/forum?id=nBCuRzjqK7

Spatio-Temporal Graph Transfer Learning (1) 时空图迁移学习

1. A Generative Pre-Training Framework for Spatio-Temporal Graph Transfer Learning. https://openreview.net/forum?id=QyFm3D3Tzi

Spatio-Temporal Causal inference (1) 时空因果推断

1. NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling. https://openreview.net/forum?id=sLdVl0q68X

Time Series Forecasting (20) 时间序列预测

1. Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values. https://openreview.net/forum?id=O9nZCwdGcG
2. CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting. https://openreview.net/forum?id=MJksrOhurE
3. Copula Conformal prediction for multi-step time series prediction. https://openreview.net/forum?id=ojIJZDNIBj
4. DAM: A Foundation Model for Forecasting. https://openreview.net/forum?id=4NhMhElWqP
5. iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. https://openreview.net/forum?id=JePfAI8fah
6. Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction. https://openreview.net/forum?id=aFWUY3E7ws
7. Multi-Resolution Diffusion Models for Time Series Forecasting. https://openreview.net/forum?id=mmjnr0G8ZY
8. MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process. https://openreview.net/forum?id=CZiY6OLktd
9. Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. https://openreview.net/forum?id=lJkOCMP2aW
10. Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators. https://openreview.net/forum?id=JiTVtCUOpS
11. RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies. https://openreview.net/forum?id=ltZ9ianMth
12. SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series. https://openreview.net/forum?id=s9z0HzWJJp
13. STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction. https://openreview.net/forum?id=6iwg437CZs
14. Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting. https://openreview.net/forum?id=qae04YACHs
15. Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. https://openreview.net/forum?id=Unb5CVPtae
16. TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. https://openreview.net/forum?id=YH5w12OUuU
17. TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. https://openreview.net/forum?id=xtOydkE1Ku
18. Towards Transparent Time Series Forecasting. https://openreview.net/forum?id=TYXtXLYHpR
19. TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. https://openreview.net/forum?id=7oLshfEIC2
20. VQ-TR: Vector Quantized Attention for Time Series Forecasting. https://openreview.net/forum?id=IxpTsFS7mh

Temporal Graphs (1) 时序图

1. Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs. https://openreview.net/forum?id=uvFhCUPjtI

Time Series Imputation (1) 时间序列填补

1. Conditional Information Bottleneck Approach for Time Series Imputation. https://openreview.net/forum?id=K1mcPiDdOJ

Time Series Causal Discovery (1) 时间序列因果发现

1. CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery. https://openreview.net/forum?id=iad1yyyGme

Time Series Generation (2) 时间序列生成

1. Diffusion-TS: Interpretable Diffusion for General Time Series Generation. https://openreview.net/forum?id=4h1apFjO99
2. Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs. https://openreview.net/forum?id=eY7sLb0dVF

Time Series Representations (2) 时间序列表示

1. Disentangling Time Series Representations via Contrastive based $l$− Variational Inference.   https://openreview.net/forum?id=iI7hZSczxE
2. T-Rep: Representation Learning for Time Series using Time-Embeddings. https://openreview.net/forum?id=3y2TfP966N

Time Series Analysis (2) 时间序列分析

1. FITS: Modeling Time Series with 10$k$ Parameters. https://openreview.net/forum?id=bWcnvZ3qMb
2. ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis. https://openreview.net/forum?id=vpJMJerXHU

Time Series Explanation (1) 时间序列解释

1. Explaining Time Series via Contrastive and Locally Sparse Perturbations. https://openreview.net/forum?id=qDdSRaOiyb

Time Series Pattern Recognition (1) 时间序列模式识别

1. Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns. https://openreview.net/forum?id=CdjnzWsQax

Time Series Embedding (3) 时间序列嵌入

1. GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings. https://openreview.net/forum?id=c56TWtYp0W
2. Learning to Embed Time Series Patches Independently. https://openreview.net/forum?id=WS7GuBDFa2
3. TEST: Text Prototype Aligned Embedding to Activate LLM’s Ability for Time Series. https://openreview.net/forum?id=Tuh4nZVb0g

Time Series Classification (2) 时间序列分类

1. Inherently Interpretable Time Series Classification via Multiple Instance Learning. https://openreview.net/forum?id=xriGRsoAza
2. Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data. https://openreview.net/forum?id=4VIgNuQ1pY

Time Series Alignment (1) 时间序列对齐

1. Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data. https://openreview.net/forum?id=9zhHVyLY4K

Time Series Contrastive Learning (4) 时间序列对比学习

1. Parametric Augmentation for Time Series Contrastive Learning. https://openreview.net/forum?id=EIPLdFy3vp
2. Retrieval-Based Reconstruction For Time-series Contrastive Learning. https://openreview.net/forum?id=3zQo5oUvia
3. Soft Contrastive Learning for Time Series. https://openreview.net/forum?id=pAsQSWlDUf
4. Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. https://openreview.net/forum?id=K2c04ulKXn

Traffic Predictoin (1) 交通预测

1. TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts. https://openreview.net/forum?id=N0nTk5BSvO

更多

1. 时空数据挖掘论文库 Research of Spatio-Temporal Data Mining
2. 【KDD 2023】时空数据挖掘论文 半亩方塘：【KDD 2023】时空数据挖掘论文
3. 【ICLR 2023】 时空数据挖掘论文 半亩方塘：【ICLR 2023】时空数据挖掘论文
4. 【NeurIPS 2023】时空数据挖掘论文 【NeurIPS 2023】时空数据挖掘论文
5. 【ICLR 2022】 时空数据挖掘论文 半亩方塘：【ICLR 2022】时空数据挖掘论文
6. 【ICML 2022】时空数据挖掘论文 半亩方塘：【ICML 2022】时空数据挖掘论文
7. 【IJCAI 2022】时空数据挖掘论文 半亩方塘：【IJCAI 2022】时空数据挖掘论文
8. 【KDD 2022】时空数据挖掘论文 半亩方塘：【KDD 2022】时空数据挖掘论文
9. 【WSDM 2022】时空数据挖掘论文 半亩方塘：【WSDM 2022】时空数据挖掘论文
10. 【AAAI 2022】 时空数据挖掘论文 半亩方塘：【AAAI 2022】时空数据挖掘论文
11. 近3年用于时空数据挖掘的图神经网络论文（2018-2021）半亩方塘：【图神经网络】近3年用于时空数据挖掘的图神经网络论文（2018-2021）
12. 【KDD 2021】 时空数据挖掘论文 半亩方塘：【KDD 2021 】时空数据挖掘论文
13. 【IJCAI 2021】 时空数据挖掘论文 半亩方塘：【IJCAI 2021 】时空数据挖掘论文
14. 【WWW 2021】 时空数据挖掘论文 半亩方塘：【WWW 2021 】时空数据挖掘论文
15. 【ACM SIGSPATIAL 2021】 时空数据挖掘论文 半亩方塘：【ACM SIGSPATIAL 2021】时空数据挖掘论文
16. 【时空数据挖掘】推开窗，看一看 半亩方塘：【时空数据挖掘】推开窗，看一看
17. 【时空数据挖掘】 - 层次体系构建 半亩方塘：【时空数据挖掘】 - 层次体系构建
18. 【时空数据挖掘】- 任务 半亩方塘：【时空数据挖掘】- 任务
19. 【时空数据挖掘】- 方法 半亩方塘：【时空数据挖掘】- 方法
20. 【时空数据挖掘】- 数据 半亩方塘：【时空数据挖掘】- 数据