GRAND: Graph Neural Diffusion

21 June 2021

Papers citing "GRAND: Graph Neural Diffusion"

50 / 165 papers shown

Title
Provable Filter for Real-world Graph Clustering Xuanting Xie Erlin Pan Zhao Kang Wenyu Chen Bingheng Li GNN 44 2 0 06 Mar 2024
Smoothed Graph Contrastive Learning via Seamless Proximity Integration M. Behmanesh M. Ovsjanikov 24 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 44 0 0 23 Feb 2024
Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks Dai Shi Andi Han Lequan Lin Yi Guo Zhiyong Wang Junbin Gao 29 8 0 26 Jan 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 36 3 0 25 Jan 2024
Learning to Approximate Adaptive Kernel Convolution on Graphs Jaeyoon Sim Sooyeon Jeon Injun Choi Guorong Wu Won Hwa Kim 30 3 0 22 Jan 2024
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks Moshe Eliasof E. Haber Eran Treister Carola-Bibiane Schönlieb AI4CE 27 2 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 44 2 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 57 7 0 27 Dec 2023
A charge-preserving method for solving graph neural diffusion networks Lidia Aceto Pietro Antonio Grassi 35 0 0 16 Dec 2023
A Generalized Neural Diffusion Framework on Graphs Yibo Li Xiao Wang Hongrui Liu Chuan Shi DiffM AI4CE 22 16 0 14 Dec 2023
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification Henan Sun Xunkai Li Zhengyu Wu Daohan Su Ronghua Li Guoren Wang 37 12 0 07 Dec 2023
AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference Yuan Lu Haitz Sáez de Ocáriz Borde Pietro Lio 25 2 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 47 12 0 13 Nov 2023
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation Jialin Chen Yuelin Wang Cristian Bodnar Rex Ying Pietro Lió Yu Guang Wang 29 10 0 09 Nov 2023
RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments Rui She Qiyu Kang Sijie Wang Yuan-Rui Yang Kai Zhao Yang Song Wee Peng Tay 20 9 0 07 Nov 2023
From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach Tuan Nguyen Hirotada Honda Takashi Sano Vinh-Tiep Nguyen Shugo Nakamura Tan-Minh Nguyen 32 4 0 06 Nov 2023
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes Zheng Wang Shikai Fang Shibo Li Shandian Zhe 22 2 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 38 0 0 26 Oct 2023
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS AI4CE 26 14 0 24 Oct 2023
Physics-Informed Graph Convolutional Networks: Towards a generalized framework for complex geometries M. Chenaud José Alves Frédéric Magoulès AI4CE PINN 26 1 0 20 Oct 2023
Fast Multipole Attention: A Divide-and-Conquer Attention Mechanism for Long Sequences Yanming Kang Giang Tran H. Sterck 21 3 0 18 Oct 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond Andi Han Dai Shi Lequan Lin Junbin Gao AI4CE GNN 37 21 0 16 Oct 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay AAML 40 23 0 10 Oct 2023
Supercharging Graph Transformers with Advective Diffusion Qitian Wu Chenxiao Yang Kaipeng Zeng Fan Nie AI4CE 53 6 0 10 Oct 2023
A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks Outongyi Lv Bingxin Zhou Jing Wang Xiang Xiao Weishu Zhao Lirong Zheng 23 1 0 02 Oct 2023
Symplectic Structure-Aware Hamiltonian (Graph) Embeddings Jiaxu Liu Xinping Yi Tianle Zhang Xiaowei Huang 13 0 0 09 Sep 2023
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond Zhiqi Shao Dai Shi Andi Han Yi Guo Qianchuan Zhao Junbin Gao 33 11 0 06 Sep 2023
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction Minghao Guo Veronika Thost Samuel W Song A. Balachandran Payel Das Jie Chen Wojciech Matusik AI4CE 29 0 0 04 Sep 2023
Investigating the Interplay between Features and Structures in Graph Learning Daniele Castellana Federico Errica 36 3 0 18 Aug 2023
Feature Transportation Improves Graph Neural Networks Moshe Eliasof E. Haber Eran Treister GNN 53 11 0 29 Jul 2023
Self-Contrastive Graph Diffusion Network Yixuan Ma Kun Zhan 38 4 0 27 Jul 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs Thomas Markovich GNN 24 3 0 20 Jul 2023
How Curvature Enhance the Adaptation Power of Framelet GCNs Dai Shi Yi Guo Zhiqi Shao Junbin Gao 26 14 0 19 Jul 2023
Automating Computational Design with Generative AI J. Ploennigs Markus Berger AI4CE DiffM 47 2 0 05 Jul 2023
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals Tingting Dan Jiaqi Ding Ziquan Wei S. Kovalsky Minjeong Kim Won Hwa Kim Guorong Wu DiffM 24 6 0 01 Jul 2023
Generalization Limits of Graph Neural Networks in Identity Effects Learning Giuseppe Alessio D’Inverno Simone Brugiapaglia Mirco Ravanelli 24 3 0 30 Jun 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies Soo Yong Lee Fanchen Bu Jaemin Yoo Kijung Shin GNN 21 30 0 04 Jun 2023
Centered Self-Attention Layers Ameen Ali Tomer Galanti Lior Wolf 37 6 0 02 Jun 2023
Reconstructing Graph Diffusion History from a Single Snapshot Ruizhong Qiu Dingsu Wang Lei Ying H. Vincent Poor Yifang Zhang Hanghang Tong DiffM 27 6 0 01 Jun 2023
AbODE: Ab Initio Antibody Design using Conjoined ODEs Yogesh Verma Markus Heinonen Vikas K. Garg 33 18 0 31 May 2023
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks Qiyu Kang Kai Zhao Yang Song Sijie Wang Wee Peng Tay 19 12 0 30 May 2023
Graph Neural Convection-Diffusion with Heterophily Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay 36 28 0 26 May 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion Dai Shi Zhiqi Shao Yi Guo Qianchuan Zhao Junbin Gao 34 1 0 25 May 2023
Reversible and irreversible bracket-based dynamics for deep graph neural networks A. Gruber Kookjin Lee N. Trask AI4CE 30 9 0 24 May 2023
A Fractional Graph Laplacian Approach to Oversmoothing Sohir Maskey Raffaele Paolino Aras Bacho Gitta Kutyniok 30 30 0 22 May 2023
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? Bing-Quan Liu Wei Luo Gang Li Jing Huang Boxiong Yang AI4CE 26 5 0 20 May 2023
Graph Neural Networks for Airfoil Design F. Bonnet AI4CE 27 0 0 09 May 2023
Jacobian-Scaled K-means Clustering for Physics-Informed Segmentation of Reacting Flows Shivam Barwey V. Raman 26 2 0 02 May 2023
Deep Graph Representation Learning and Optimization for Influence Maximization Chen Ling Junji Jiang Junxiang Wang My T. Thai Lukas Xue James Song M. Qiu Liang Zhao 30 95 0 01 May 2023