GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series
Forecasting

GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting

7 July 2023

S. Ramasubramanian

Vincent Quenneville-Belair

Michael W. Mahoney

Papers citing "GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting"

16 / 16 papers shown

Title
Multivariate Time Series Forecasting with Latent Graph Inference Victor Garcia Satorras Syama Sundar Rangapuram Tim Januschowski AI4TS 70 29 0 07 Mar 2022
A Study of Joint Graph Inference and Forecasting Daniel Zügner François-Xavier Aubet Victor Garcia Satorras Tim Januschowski Stephan Günnemann Jan Gasthaus AI4TS AI4CE 53 12 0 10 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 89 91 0 08 Sep 2021
Are Word Embedding Methods Stable and Should We Care About It? Angana Borah M. Barman Amit Awekar 24 11 0 17 Apr 2021
Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case Neo Wu Bradley Green X. Ben S. O’Banion AI4TS 60 454 0 23 Jan 2020
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting Bryan Lim Sercan O. Arik Nicolas Loeff Tomas Pfister AI4TS 108 1,449 0 19 Dec 2019
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting Shiyang Li Xiaoyong Jin Yao Xuan Xiyou Zhou Wenhu Chen Yu Wang Xifeng Yan AI4TS 85 1,414 0 29 Jun 2019
Probabilistic Forecasting with Temporal Convolutional Neural Network Yitian Chen Yanfei Kang Yixiong Chen Zizhuo Wang BDL AI4TS 64 327 0 11 Jun 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 142 1,272 0 20 May 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 218 4,336 0 06 Mar 2019
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 454 20,124 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 472 15,218 0 07 Jun 2017
Conditional Time Series Forecasting with Convolutional Neural Networks Anastasia Borovykh S. Bohté C. Oosterlee AI4TS 47 474 0 14 Mar 2017
Deep Convolutional Networks on Graph-Structured Data Mikael Henaff Joan Bruna Yann LeCun GNN 155 1,586 0 16 Jun 2015
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 409 20,541 0 10 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.0K 23,338 0 03 Jun 2014