GRAND: Graph Neural Diffusion

21 June 2021

Papers citing "GRAND: Graph Neural Diffusion"

50 / 165 papers shown

Title
A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods Azadeh Alavia Hossein Akhoundib Fatemeh Kouchmeshkib Mojtaba Mahmoodianc Sanduni Jayasinghec Yongli Rena Abdolrahman Alavi AI4CE 28 0 0 08 Apr 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks Z. Liu Xiaoda Wang Bohan Wang Zijie Huang Carl Yang Wei-dong Jin AI4TS AI4CE 69 0 0 29 Mar 2025
Neural Variable-Order Fractional Differential Equation Networks Wenjun Cui Qiyu Kang Xuhao Li Kai Zhao Wee Peng Tay Weihua Deng Yidong Li 57 1 0 20 Mar 2025
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation Qiyu Kang Xuhao Li Kai Zhao Wenjun Cui Yanan Zhao Weihua Deng Wee Peng Tay 43 1 0 20 Mar 2025
Beyond holography: the entropic quantum gravity foundations of image processing Ginestra Bianconi 48 0 0 18 Mar 2025
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks Eduard Tulchinskii Daria Voronkova I. Trofimov E. Burnaev Serguei Barannikov 71 0 0 14 Mar 2025
Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning Ruikun Li Huandong Wang Qingmin Liao Yong Li 38 0 0 24 Feb 2025
Graph Neural Diffusion Networks for Semi-supervised Learning Wei Ye Zexi Huang Yunqi Hong Ambuj K. Singh GNN 74 3 0 24 Feb 2025
Learning to Decouple Complex Systems Zihan Zhou Tianshu Yu BDL 64 4 0 17 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture Md. Atik Ahamed Andrew Cheng Q. Ye Q. Cheng GNN 51 0 0 01 Feb 2025
Understanding Oversmoothing in GNNs as Consensus in Opinion Dynamics Keqin Wang Yulong Yang Ishan Saha Christine Allen-Blanchette 51 1 0 31 Jan 2025
Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks Wenqiang Xu Wenrui Dai Duoduo Xue Ziyang Zheng Chenglin Li Junni Zou Hongkai Xiong 3DPC 70 0 0 21 Nov 2024
Normalized Space Alignment: A Versatile Metric for Representation Analysis Danish Ebadulla Aditya Gulati Ambuj Singh 70 0 0 07 Nov 2024
Faster Local Solvers for Graph Diffusion Equations Jiahe Bai Baojian Zhou Deqing Yang Yanghua Xiao DiffM 26 1 0 29 Oct 2024
Learning to Control the Smoothness of Graph Convolutional Network Features Shih-Hsin Wang Justin Baker Cory Hauck Bao Wang 21 0 0 18 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 43 0 0 11 Oct 2024
Sparse Repellency for Shielded Generation in Text-to-image Diffusion Models Michael Kirchhof James Thornton Pierre Ablin Louis Béthune Eugène Ndiaye Marco Cuturi 36 2 0 08 Oct 2024
When Graph Neural Networks Meet Dynamic Mode Decomposition Dai Shi Lequan Lin Andi Han Zhiyong Wang Yi Guo Junbin Gao AI4CE 23 0 0 08 Oct 2024
PRFusion: Toward Effective and Robust Multi-Modal Place Recognition with Image and Point Cloud Fusion Sijie Wang Qiyu Kang Rui She Kai Zhao Yang Song Wee Peng Tay 3DPC 21 0 0 07 Oct 2024
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems Bocheng Zeng Qi Wang M. Yan Y. Liu Ruizhi Chengze Yi Zhang Hongsheng Liu Zidong Wang Hao Sun AI4CE 21 3 0 02 Oct 2024
Physics-Informed Graph-Mesh Networks for PDEs: A hybrid approach for complex problems M. Chenaud Frédéric Magoulès José Alves AI4CE PINN 26 1 0 25 Sep 2024
Neural Message Passing Induced by Energy-Constrained Diffusion Qitian Wu David Wipf Junchi Yan DiffM 47 1 0 13 Sep 2024
Heterogeneous Sheaf Neural Networks Luke Braithwaite Iulia Duta Pietro Liò 18 1 0 12 Sep 2024
On the design space between molecular mechanics and machine learning force fields Yuanqing Wang Kenichiro Takaba Michael S. Chen Marcus Wieder Yuzhi Xu ... Kyunghyun Cho Joe G. Greener Peter K. Eastman Stefano Martiniani M. Tuckerman AI4CE 32 4 0 03 Sep 2024
SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classification Alan John Varghese Zhen Zhang George Karniadakis 16 2 0 29 Aug 2024
Non-convolutional Graph Neural Networks Yuanqing Wang N. Scherer-Negenborn GNN 16 3 0 31 Jul 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 31 0 0 26 Jul 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 43 2 0 03 Jul 2024
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks Yilun Zheng Sitao Luan Lihui Chen 37 5 0 27 Jun 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks Rongzhe Wei Eli Chien P. Li 30 5 0 22 Jun 2024
Exponential time differencing for matrix-valued dynamical systems Nayef Shkeir Tobias Schäfer T. Grafke 22 0 0 19 Jun 2024
Graph Neural Reaction Diffusion Models Moshe Eliasof Eldad Haber Eran Treister DiffM AI4CE 21 2 0 16 Jun 2024
Global-Local Graph Neural Networks for Node-Classification Moshe Eliasof Eran Treister 33 3 0 16 Jun 2024
Topological Neural Networks go Persistent, Equivariant, and Continuous Yogesh Verma Amauri H Souza Vikas K. Garg AI4CE 33 4 0 05 Jun 2024
Long Range Propagation on Continuous-Time Dynamic Graphs Alessio Gravina Giulio Lovisotto Claudio Gallicchio Davide Bacciu Claas Grohnfeldt AI4TS 36 6 0 04 Jun 2024
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE Jiaxu Liu Xinping Yi Sihao Wu Xiangyu Yin Tianle Zhang Xiaowei Huang Shi Jin 34 0 0 03 Jun 2024
Co-Representation Neural Hypergraph Diffusion for Edge-Dependent Node Classification Yijia Zheng M. Worring DiffM 32 1 0 23 May 2024
ATNPA: A Unified View of Oversmoothing Alleviation in Graph Neural Networks Yufei Jin Xingquan Zhu 46 2 0 02 May 2024
Temporal Graph ODEs for Irregularly-Sampled Time Series Alessio Gravina Daniele Zambon Davide Bacciu C. Alippi AI4TS CML 23 3 0 30 Apr 2024
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND Qiyu Kang Kai Zhao Qinxu Ding Feng Ji Xuhao Li Wenfei Liang Yang Song Wee Peng Tay 36 8 0 26 Apr 2024
PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer Rui She Qiyu Kang Sijie Wang Wee Peng Tay Kai Zhao Yang Song Tianyu Geng Yi Xu Diego Navarro Navarro Andreas Hartmannsgruber 3DPC DiffM 31 13 0 22 Apr 2024
CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma Soumyasundar Pal Yitian Zhang Jiaming Zhou Yingxue Zhang Mark J. Coates 37 3 0 21 Apr 2024
Graph Neural Networks for Binary Programming Moshe Eliasof Eldad Haber GNN 27 0 0 07 Apr 2024
First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models Yifan Qu Oliver A. Krzysik H. Sterck Omer Ege Kara AI4CE 16 0 0 03 Apr 2024
Continuous Spiking Graph Neural Networks Nan Yin Mengzhu Wang Li Shen Hitesh Laxmichand Patel Baopu Li Bin Gu Huan Xiong GNN 26 10 0 02 Apr 2024
Graph Neural Aggregation-diffusion with Metastability Kaiyuan Cui Xinyan Wang Zicheng Zhang Weichen Zhao 26 2 0 29 Mar 2024
A Review of Graph Neural Networks in Epidemic Modeling Zewen Liu Guancheng Wan B. A. Prakash Max S. Y. Lau Wei-dong Jin AI4CE 29 36 0 28 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 18 0 0 23 Mar 2024
Entropy Aware Message Passing in Graph Neural Networks Philipp Nazari Oliver Lemke Davide Guidobene Artiom Gesp 25 0 0 07 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 22 4 0 06 Mar 2024