GRAND: Graph Neural Diffusion

GRAND: Graph Neural Diffusion

21 June 2021

Maria I. Gorinova

Papers citing "GRAND: Graph Neural Diffusion"

15 / 165 papers shown

Title
Modeling Advection on Directed Graphs using Matérn Gaussian Processes for Traffic Flow Danielle C. Maddix Nadim Saad Bernie Wang 17 0 0 14 Dec 2021
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks Vijay Lingam C. Ekbote Manan Sharma Rahul Ragesh Arun Shankar Iyer Sundararajan Sellamanickam 21 5 0 07 Dec 2021
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features Emanuele Rossi Henry Kenlay Maria I. Gorinova B. Chamberlain Xiaowen Dong M. Bronstein 14 87 0 23 Nov 2021
HAD-Net: Hybrid Attention-based Diffusion Network for Glucose Level Forecast Quentin Blampey M. Rahim MedIm 8 0 0 14 Nov 2021
Beltrami Flow and Neural Diffusion on Graphs B. Chamberlain J. Rowbottom D. Eynard Francesco Di Giovanni Xiaowen Dong M. Bronstein AI4CE 21 79 0 18 Oct 2021
Weakly Supervised Concept Map Generation through Task-Guided Graph Translation Jiaying Lu Xiangjue Dong Carl Yang 12 3 0 08 Oct 2021
Space-Time Graph Neural Networks Samar Hadou Charilaos I. Kanatsoulis Alejandro Ribeiro AI4TS 11 17 0 06 Oct 2021
Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations Ido Ben-Yair Gil Ben Shalom Moshe Eliasof Eran Treister MQ 11 5 0 31 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof E. Haber Eran Treister GNN AI4CE 22 120 0 04 Aug 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 13 31 0 02 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 34 17 0 21 Jul 2021
Diffusion Mechanism in Residual Neural Network: Theory and Applications Tangjun Wang Zehao Dou Chenglong Bao Zuoqiang Shi DiffM 17 7 0 07 May 2021
Mimetic Neural Networks: A unified framework for Protein Design and Folding Moshe Eliasof Tue Boesen E. Haber C. Keasar Eran Treister AI4CE 25 12 0 07 Feb 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,272 0 18 Oct 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,809 0 25 Nov 2016