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Asynchronous Graph Generator

29 September 2023

Christopher P. Ley

Felipe Tobar

AI4TS

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Papers citing "Asynchronous Graph Generator"

38 / 38 papers shown

Title
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 87 188 0 19 Jan 2023
On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks Jhony H. Giraldo Konstantinos Skianis T. Bouwmans Fragkiskos D. Malliaros 63 51 0 05 Dec 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,150 0 01 Mar 2022
Node Dependent Local Smoothing for Scalable Graph Learning Wentao Zhang Mingyu Yang Zeang Sheng Yang Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Tengjiao Wang 65 68 0 27 Oct 2021
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks Andrea Cini Ivan Marisca Cesare Alippi AI4TS AI4CE 68 112 0 31 Jul 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 123 1,085 0 30 May 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 360 1,160 0 27 Apr 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 347 2,362 0 04 Mar 2021
Temporal Graph Networks for Deep Learning on Dynamic Graphs Emanuele Rossi B. Chamberlain Fabrizio Frasca D. Eynard Federico Monti M. Bronstein AI4CE 179 655 0 18 Jun 2020
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Zonghan Wu Shirui Pan Guodong Long Jing Jiang Xiaojun Chang Chengqi Zhang AI4TS 89 1,396 0 24 May 2020
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra Laurens van der Maaten SSL VLM 108 1,458 0 04 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 547 42,591 0 03 Dec 2019
Time2Vec: Learning a Vector Representation of Time Seyed Mehran Kazemi Rishab Goel Sepehr Eghbali J. Ramanan Jaspreet Sahota Sanjay Thakur Stella Wu Cathal Smyth Pascal Poupart Marcus A. Brubaker AI4TS 68 347 0 11 Jul 2019
GP-VAE: Deep Probabilistic Time Series Imputation Vincent Fortuin Dmitry Baranchuk Gunnar Rätsch Stephan Mandt BDL AI4TS 68 256 0 09 Jul 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang GNN AI4TS 92 2,176 0 31 May 2019
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation Yukai Liu Rose Yu Stephan Zheng Eric Zhan Yisong Yue BDL AI4TS 76 116 0 30 Jan 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 8,566 0 03 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
GAIN: Missing Data Imputation using Generative Adversarial Nets Jinsung Yoon James Jordon M. Schaar GAN 63 1,026 0 07 Jun 2018
BRITS: Bidirectional Recurrent Imputation for Time Series Wei Cao Dong Wang Jian Li Hao Zhou Lei Li Yitan Li AI4TS 53 623 0 27 May 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs Jiani Zhang Xingjian Shi Junyuan Xie Hao Ma Irwin King Dit-Yan Yeung GNN 110 573 0 20 Mar 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Shaojie Bai J. Zico Kolter V. Koltun DRL 97 4,845 0 04 Mar 2018
Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural Networks Jinsung Yoon W. Zame Mihaela van der Schaar AI4TS 61 239 0 23 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,233 0 30 Oct 2017
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting Ting Yu Haoteng Yin Zhanxing Zhu GNN AI4TS 140 3,728 0 14 Sep 2017
Implicit Regularization in Deep Learning Behnam Neyshabur 58 147 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 786 132,363 0 12 Jun 2017
Structured Sequence Modeling with Graph Convolutional Recurrent Networks Youngjoo Seo M. Defferrard P. Vandergheynst Xavier Bresson GNN 150 779 0 22 Dec 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 432 10,531 0 21 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 360 7,671 0 30 Jun 2016
Modeling Missing Data in Clinical Time Series with RNNs Zachary Chase Lipton David C. Kale R. Wetzel AI4TS 60 230 0 13 Jun 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 312 1,947 0 06 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 347 3,288 0 17 Nov 2015
Diffusion-Convolutional Neural Networks James Atwood Don Towsley GNN DiffM 197 1,256 0 06 Nov 2015
In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning Behnam Neyshabur Ryota Tomioka Nathan Srebro AI4CE 99 662 0 20 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 601 12,741 0 11 Dec 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 463 7,667 0 03 Jul 2012