GRAND: Graph Neural Diffusion

21 June 2021

Papers citing "GRAND: Graph Neural Diffusion"

50 / 165 papers shown

Title
A Survey on Oversmoothing in Graph Neural Networks T. Konstantin Rusch Michael M. Bronstein Siddhartha Mishra 29 186 0 20 Mar 2023
Graph Neural Networks in Vision-Language Image Understanding: A Survey Henry Senior Greg Slabaugh Shanxin Yuan Luca Rossi GNN 33 14 0 07 Mar 2023
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks See Hian Lee Feng Ji Wee Peng Tay 27 1 0 03 Mar 2023
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks Qiyu Kang Kai Zhao Yang Song Sijie Wang Rui She Wee Peng Tay 38 0 0 02 Mar 2023
Framelet Message Passing Xinliang Liu Bingxin Zhou Chutian Zhang Yu Guang Wang 28 5 0 28 Feb 2023
Diffusion Probabilistic Models for Structured Node Classification Hyosoon Jang Seonghyun Park Sangwoo Mo Sungsoo Ahn DiffM 20 3 0 21 Feb 2023
Fast Temporal Wavelet Graph Neural Networks D. Nguyen Manh Tuan Nguyen Truong-Son Hy Risi Kondor AI4TS 31 7 0 17 Feb 2023
Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning Shivam Barwey Varun Shankar V. Viswanathan R. Maulik AI4CE 27 22 0 13 Feb 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data Mengxi Wu Mohammad Rostami AI4CE 21 3 0 29 Jan 2023
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion Qitian Wu Chenxiao Yang Wen-Long Zhao Yixuan He David Wipf Junchi Yan DiffM 24 83 0 23 Jan 2023
TIDE: Time Derivative Diffusion for Deep Learning on Graphs M. Behmanesh Maximilian Krahn M. Ovsjanikov DiffM GNN 24 9 0 05 Dec 2022
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification Moshe Eliasof E. Haber Eran Treister GNN 33 0 0 29 Nov 2022
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 21 27 0 25 Nov 2022
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments Sijie Wang Qiyu Kang Rui She Wee Peng Tay Andreas Hartmannsgruber Diego Navarro Navarro 33 20 0 21 Nov 2022
Improving Graph Neural Networks with Learnable Propagation Operators Moshe Eliasof Lars Ruthotto Eran Treister 34 20 0 31 Oct 2022
Changes from Classical Statistics to Modern Statistics and Data Science Kai Zhang Shan-Yu Liu M. Xiong 34 0 0 30 Oct 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 61 10 0 29 Oct 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks Chenxiao Yang Qitian Wu Junchi Yan 21 26 0 24 Oct 2022
Correlating sparse sensing for large-scale traffic speed estimation: A Laplacian-enhanced low-rank tensor kriging approach Tong Nie Guoyang Qin Yunpeng Wang Jian Sun 38 24 0 21 Oct 2022
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks Alessio Gravina D. Bacciu Claudio Gallicchio GNN 21 50 0 18 Oct 2022
Modular Flows: Differential Molecular Generation Yogesh Verma Samuel Kaski Markus Heinonen Vikas K. Garg 29 14 0 12 Oct 2022
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 75 13 0 08 Oct 2022
Representing Spatial Trajectories as Distributions Dídac Surís Carl Vondrick 35 5 0 04 Oct 2022
Gradient Gating for Deep Multi-Rate Learning on Graphs T. Konstantin Rusch B. Chamberlain Michael W. Mahoney Michael M. Bronstein Siddhartha Mishra 79 53 0 02 Oct 2022
Provably expressive temporal graph networks Amauri Souza Diego Mesquita Samuel Kaski Vikas K. Garg 89 54 0 29 Sep 2022
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges Hwan Kim Byung Suk Lee Won-Yong Shin Sungsu Lim GNN 25 66 0 29 Sep 2022
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation H. Xiu Xin Liu Weimin Wang Kyoung-Sook Kim T. Shinohara Qiong Chang M. Matsuoka 3DPC 47 11 0 20 Sep 2022
On the Robustness of Graph Neural Diffusion to Topology Perturbations Yang Song Qiyu Kang Sijie Wang Zhao Kai Wee Peng Tay DiffM AAML 57 35 0 16 Sep 2022
pathGCN: Learning General Graph Spatial Operators from Paths Moshe Eliasof E. Haber Eran Treister 3DPC GNN 31 26 0 15 Jul 2022
Equivariant Hypergraph Diffusion Neural Operators Peihao Wang Shenghao Yang Yunyu Liu Zhangyang Wang Pan Li DiffM 30 33 0 14 Jul 2022
Structural Inference of Networked Dynamical Systems with Universal Differential Equations James Koch Zhao Chen Aaron Tuor Ján Drgoňa D. Vrabie PINN 31 10 0 11 Jul 2022
Physics-Informed Deep Neural Operator Networks S. Goswami Aniruddha Bora Yue Yu George Karniadakis PINN AI4CE 31 100 0 08 Jul 2022
Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding H. Xiu Xin Liu Weimin Wang Kyoung-Sook Kim T. Shinohara Qiong Chang M. Matsuoka DiffM 3DPC 14 0 0 04 Jul 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion Qi Chen Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin DiffM 48 32 0 29 Jun 2022
Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks Winfried Lotzsch Simon Ohler Johannes Otterbach AI4CE 24 18 0 28 Jun 2022
Understanding convolution on graphs via energies Francesco Di Giovanni J. Rowbottom B. Chamberlain Thomas Markovich Michael M. Bronstein GNN 23 45 0 22 Jun 2022
ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition Yuelin Wang Kai Yi Xinliang Liu Yu Guang Wang Shi Jin 21 33 0 11 Jun 2022
Inverse Boundary Value and Optimal Control Problems on Graphs: A Neural and Numerical Synthesis Mehdi Garrousian Amirhossein Nouranizadeh 16 0 0 06 Jun 2022
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering Shouheng Li Dongwoo Kim Qing Wang 19 14 0 06 Jun 2022
Capturing Graphs with Hypo-Elliptic Diffusions Csaba Tóth Darrick Lee Celia Hacker Harald Oberhauser 21 12 0 27 May 2022
Equivariant Mesh Attention Networks Sourya Basu Jose Gallego-Posada Francesco Vigano J. Rowbottom Taco S. Cohen 3DPC MDE AI4CE 51 10 0 21 May 2022
Scalable algorithms for physics-informed neural and graph networks K. Shukla Mengjia Xu N. Trask George Karniadakis PINN AI4CE 75 40 0 16 May 2022
Learning Label Initialization for Time-Dependent Harmonic Extension A. Azad 27 1 0 03 May 2022
Graph Anisotropic Diffusion Ahmed A. A. Elhag Gabriele Corso Hannes Stärk Michael M. Bronstein DiffM GNN 25 0 0 30 Apr 2022
Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs Justin Baker Hedi Xia Yiwei Wang E. Cherkaev A. Narayan Long Chen Jack Xin Andrea L. Bertozzi Stanley J. Osher Bao Wang 21 6 0 19 Apr 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 35 109 0 04 Apr 2022
Incorporating Heterophily into Graph Neural Networks for Graph Classification Jiayi Yang Sourav Medya Wei Ye 26 4 0 15 Mar 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs Cristian Bodnar Francesco Di Giovanni B. Chamberlain Pietro Lio Michael M. Bronstein 32 170 0 09 Feb 2022
Graph-Coupled Oscillator Networks T. Konstantin Rusch B. Chamberlain J. Rowbottom S. Mishra M. Bronstein 42 105 0 04 Feb 2022
GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics Ke Alexander Wang Danielle C. Maddix Yuyang Wang AI4CE 28 1 0 18 Dec 2021