v1v2 (latest)

GRAND: Graph Neural Diffusion

International Conference on Machine Learning (ICML), 2021

21 June 2021

Papers citing "GRAND: Graph Neural Diffusion"

50 / 190 papers shown

Title
On the design space between molecular mechanics and machine learning force fieldsApplied Physics Reviews (APR), 2024 Yuanqing Wang Kenichiro Takaba Michael S. Chen Marcus Wieder Yuzhi Xu ... Kyunghyun Cho Joe G. Greener Peter K. Eastman Stefano Martiniani M. Tuckerman AI4CE 250 17 0 03 Sep 2024
SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classificationNeural Networks (NN), 2024 Alan John Varghese Zhen Zhang George Karniadakis 275 7 0 29 Aug 2024
Non-convolutional Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2024 Yuanqing Wang N. Scherer-Negenborn GNN 323 11 0 31 Jul 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 231 0 0 26 Jul 2024
GLAudio Listens to the Sound of the Graph Aurelio Sulser Johann Wenckstern Clara Kuempel 106 0 0 19 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 351 5 0 03 Jul 2024
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks Yilun Zheng Sitao Luan Lihui Chen 238 6 0 27 Jun 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks Rongzhe Wei Eli Chien P. Li 710 6 0 22 Jun 2024
Exponential time differencing for matrix-valued dynamical systems Nayef Shkeir Tobias Schäfer T. Grafke 94 0 0 19 Jun 2024
Graph Neural Reaction Diffusion Models Moshe Eliasof Eldad Haber Eran Treister DiffM AI4CE 223 7 0 16 Jun 2024
Global-Local Graph Neural Networks for Node-Classification Moshe Eliasof Eran Treister 343 6 0 16 Jun 2024
Topological Neural Networks go Persistent, Equivariant, and Continuous Yogesh Verma Amauri H Souza Vikas Garg AI4CE 160 11 0 05 Jun 2024
Long Range Propagation on Continuous-Time Dynamic Graphs Alessio Gravina Giulio Lovisotto Claudio Gallicchio Davide Bacciu Claas Grohnfeldt AI4TS 145 23 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 299 1 0 03 Jun 2024
Modeling Edge-Specific Node Features through Co-Representation Neural Hypergraph Diffusion Yijia Zheng Marcel Worring DiffM 251 3 0 23 May 2024
Oversmoothing Alleviation in Graph Neural Networks: A Survey and Unified View Yufei Jin Xingquan Zhu 245 2 0 02 May 2024
Temporal Graph ODEs for Irregularly-Sampled Time Series Alessio Gravina Daniele Zambon Davide Bacciu Cesare Alippi AI4TS CML 212 13 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 319 15 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 206 23 0 22 Apr 2024
CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma Soumyasundar Pal Yitian Zhang Jiaming Zhou Yingxue Zhang Mark Coates 184 8 0 21 Apr 2024
Quadratic Binary Optimization with Graph Neural Networks Moshe Eliasof Eldad Haber GNN 260 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 162 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 202 13 0 02 Apr 2024
Graph Neural Aggregation-diffusion with Metastability Kaiyuan Cui Xinyan Wang Zicheng Zhang Weichen Zhao 283 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 Jin AI4CE 190 77 0 28 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 193 1 0 23 Mar 2024
Entropy Aware Message Passing in Graph Neural Networks Philipp Nazari Oliver Lemke Davide Guidobene Artiom Gesp 132 0 0 07 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 277 9 0 06 Mar 2024
Provable Filter for Real-world Graph Clustering Xuanting Xie Erlin Pan Zhao Kang Wenyu Chen Bingheng Li GNN 215 4 0 06 Mar 2024
Smoothed Graph Contrastive Learning via Seamless Proximity Integration M. Behmanesh M. Ovsjanikov 273 0 0 23 Feb 2024
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory Weichen Zhao Chenguang Wang Xinyan Wang Congying Han Tiande Guo Tianshu Yu 301 2 0 23 Feb 2024
Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural NetworksInternational Journal of Machine Learning and Cybernetics (IJMLC), 2024 Dai Shi Andi Han Lequan Lin Yi Guo Zhiyong Wang Junbin Gao 190 9 0 26 Jan 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 329 4 0 25 Jan 2024
Learning to Approximate Adaptive Kernel Convolution on GraphsAAAI Conference on Artificial Intelligence (AAAI), 2024 Jaeyoon Sim Sooyeon Jeon Injun Choi Guorong Wu Won Hwa Kim 169 4 0 22 Jan 2024
On The Temporal Domain of Differential Equation Inspired Graph Neural NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Moshe Eliasof E. Haber Eran Treister Carola-Bibiane Schönlieb AI4CE 276 9 0 20 Jan 2024
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation Jeongwhan Choi Hyowon Wi C. Lee Sung-Bae Cho Dongha Lee Noseong Park DiffM 172 3 0 27 Dec 2023
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 429 19 0 27 Dec 2023
A charge-preserving method for solving graph neural diffusion networksCommunications in nonlinear science & numerical simulation (CNSNS), 2023 Lidia Aceto Pietro Antonio Grassi 117 0 0 16 Dec 2023
A Generalized Neural Diffusion Framework on GraphsAAAI Conference on Artificial Intelligence (AAAI), 2023 Yibo Li Xiao Wang Hongrui Liu Chuan Shi DiffM AI4CE 388 27 0 14 Dec 2023
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification Henan Sun Miao Hu Zhengyu Wu Daohan Su Ronghua Li Guoren Wang 172 19 0 07 Dec 2023
AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference Yuan Lu Haitz Sáez de Ocáriz Borde Pietro Lio 185 3 0 20 Nov 2023
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges Dai Shi Andi Han Lequan Lin Yi Guo Junbin Gao 260 21 0 13 Nov 2023
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation Jialin Chen Yuelin Wang Cristian Bodnar Rex Ying Pietro Lio Yu Guang Wang 179 14 0 09 Nov 2023
RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging EnvironmentsIEEE Transactions on Image Processing (IEEE TIP), 2023 Rui She Qiyu Kang Sijie Wang Yuan-Rui Yang Kai Zhao Yang Song Wee Peng Tay 216 11 0 07 Nov 2023
From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based ApproachInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Tuan Nguyen Hirotada Honda Takashi Sano Vinh-Tiep Nguyen Shugo Nakamura Tan-Minh Nguyen 232 8 0 06 Nov 2023
Dynamic Tensor Decomposition via Neural Diffusion-Reaction ProcessesNeural Information Processing Systems (NeurIPS), 2023 Zheng Wang Shikai Fang Shibo Li Shandian Zhe 112 6 0 30 Oct 2023
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer Shuai Zheng Zhizhe Liu Zhenfeng Zhu Xingxing Zhang Jianxin Li Yao-Min Zhao 151 0 0 26 Oct 2023
Graph Deep Learning for Time Series ForecastingACM Computing Surveys (ACM Comput. Surv.), 2023 Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS AI4CE 392 26 0 24 Oct 2023
Physics-Informed Graph Convolutional Networks: Towards a generalized framework for complex geometries M. Chenaud José Alves Frédéric Magoulès AI4CE PINN 260 1 0 20 Oct 2023
Fast Multipole Attention: A Scalable Multilevel Attention Mechanism for Text and Images Yanming Kang Giang Tran H. Sterck 230 9 0 18 Oct 2023