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 16 184 0 20 Mar 2023
Graph Neural Networks in Vision-Language Image Understanding: A Survey Henry Senior Greg Slabaugh Shanxin Yuan Luca Rossi GNN 21 13 0 07 Mar 2023
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks See Hian Lee Feng Ji Wee Peng Tay 16 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 28 0 0 02 Mar 2023
Framelet Message Passing Xinliang Liu Bingxin Zhou Chutian Zhang Yu Guang Wang 21 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 11 7 0 17 Feb 2023
Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning Shivam Barwey Varun Shankar V. Viswanathan R. Maulik AI4CE 25 20 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 19 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 16 82 0 23 Jan 2023
TIDE: Time Derivative Diffusion for Deep Learning on Graphs M. Behmanesh Maximilian Krahn M. Ovsjanikov DiffM GNN 19 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 22 0 0 29 Nov 2022
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 19 26 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 22 20 0 21 Nov 2022
Improving Graph Neural Networks with Learnable Propagation Operators Moshe Eliasof Lars Ruthotto Eran Treister 25 20 0 31 Oct 2022
Changes from Classical Statistics to Modern Statistics and Data Science Kai Zhang Shan-Yu Liu M. Xiong 21 0 0 30 Oct 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 53 10 0 29 Oct 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks Chenxiao Yang Qitian Wu Junchi Yan 16 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-jun Sun 19 24 0 21 Oct 2022
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks Alessio Gravina D. Bacciu Claudio Gallicchio GNN 11 50 0 18 Oct 2022
Modular Flows: Differential Molecular Generation Yogesh Verma Samuel Kaski Markus Heinonen Vikas K. Garg 19 14 0 12 Oct 2022
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 70 13 0 08 Oct 2022
Representing Spatial Trajectories as Distributions Dídac Surís Carl Vondrick 19 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 74 53 0 02 Oct 2022
Provably expressive temporal graph networks Amauri Souza Diego Mesquita Samuel Kaski Vikas K. Garg 87 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 17 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 37 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 48 35 0 16 Sep 2022
pathGCN: Learning General Graph Spatial Operators from Paths Moshe Eliasof E. Haber Eran Treister 3DPC GNN 23 26 0 15 Jul 2022
Equivariant Hypergraph Diffusion Neural Operators Peihao Wang Shenghao Yang Yunyu Liu Zhangyang Wang Pan Li DiffM 22 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 24 10 0 11 Jul 2022
Physics-Informed Deep Neural Operator Networks S. Goswami Aniruddha Bora Yue Yu George Karniadakis PINN AI4CE 23 98 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 6 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 13 18 0 28 Jun 2022
Understanding convolution on graphs via energies Francesco Di Giovanni J. Rowbottom B. Chamberlain Thomas Markovich Michael M. Bronstein GNN 18 43 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 8 33 0 11 Jun 2022
Inverse Boundary Value and Optimal Control Problems on Graphs: A Neural and Numerical Synthesis Mehdi Garrousian Amirhossein Nouranizadeh 8 0 0 06 Jun 2022
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering Shouheng Li Dongwoo Kim Qing Wang 13 14 0 06 Jun 2022
Capturing Graphs with Hypo-Elliptic Diffusions Csaba Tóth Darrick Lee Celia Hacker Harald Oberhauser 16 12 0 27 May 2022
Equivariant Mesh Attention Networks Sourya Basu Jose Gallego-Posada Francesco Vigano J. Rowbottom Taco S. Cohen 3DPC MDE AI4CE 41 10 0 21 May 2022
Scalable algorithms for physics-informed neural and graph networks K. Shukla Mengjia Xu N. Trask George Karniadakis PINN AI4CE 59 39 0 16 May 2022
Learning Label Initialization for Time-Dependent Harmonic Extension A. Azad 17 1 0 03 May 2022
Graph Anisotropic Diffusion Ahmed A. A. Elhag Gabriele Corso Hannes Stärk Michael M. Bronstein DiffM GNN 17 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 9 5 0 19 Apr 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 27 108 0 04 Apr 2022
Incorporating Heterophily into Graph Neural Networks for Graph Classification Jiayi Yang Sourav Medya Wei Ye 20 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 24 167 0 09 Feb 2022
Graph-Coupled Oscillator Networks T. Konstantin Rusch B. Chamberlain J. Rowbottom S. Mishra M. Bronstein 31 101 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 19 1 0 18 Dec 2021