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GRAND: Graph Neural Diffusion
International Conference on Machine Learning (ICML), 2021
21 June 2021
B. Chamberlain
J. Rowbottom
Maria I. Gorinova
Stefan Webb
Emanuele Rossi
M. Bronstein
GNN
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Papers citing
"GRAND: Graph Neural Diffusion"
50 / 190 papers shown
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond
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Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
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Qiyu Kang
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10 Oct 2023
A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks
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Jing Wang
Xiang Xiao
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Lirong Zheng
276
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02 Oct 2023
Symplectic Structure-Aware Hamiltonian (Graph) Embeddings
Jiaxu Liu
Xinping Yi
Tianle Zhang
Xiaowei Huang
244
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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
250
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06 Sep 2023
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
International Conference on Machine Learning (ICML), 2023
Minghao Guo
Veronika Thost
Samuel W Song
A. Balachandran
Payel Das
Jie Chen
Wojciech Matusik
AI4CE
230
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04 Sep 2023
Investigating the Interplay between Features and Structures in Graph Learning
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Federico Errica
259
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18 Aug 2023
Feature Transportation Improves Graph Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2023
Moshe Eliasof
E. Haber
Eran Treister
GNN
276
21
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29 Jul 2023
Self-Contrastive Graph Diffusion Network
ACM Multimedia (ACM MM), 2023
Yixuan Ma
Kun Zhan
168
9
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27 Jul 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs
Thomas Markovich
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188
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20 Jul 2023
How Curvature Enhance the Adaptation Power of Framelet GCNs
Dai Shi
Yi Guo
Zhiqi Shao
Junbin Gao
161
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19 Jul 2023
Automating Computational Design with Generative AI
Civil Engineering Design (CED), 2023
J. Ploennigs
Markus Berger
AI4CE
DiffM
196
8
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05 Jul 2023
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals
Neural Information Processing Systems (NeurIPS), 2023
Tingting Dan
Jiaqi Ding
Ziquan Wei
S. Kovalsky
Minjeong Kim
Won Hwa Kim
Guorong Wu
DiffM
215
8
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01 Jul 2023
Generalization Limits of Graph Neural Networks in Identity Effects Learning
Neural Networks (Neural Netw.), 2023
Giuseppe Alessio D’Inverno
Simone Brugiapaglia
Mirco Ravanelli
409
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30 Jun 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies
International Conference on Machine Learning (ICML), 2023
Soo Yong Lee
Fanchen Bu
Jaemin Yoo
Kijung Shin
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184
39
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04 Jun 2023
Centered Self-Attention Layers
Scandinavian Conference on Image Analysis (SCIA), 2023
Ameen Ali
Tomer Galanti
Lior Wolf
408
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02 Jun 2023
Reconstructing Graph Diffusion History from a Single Snapshot
Knowledge Discovery and Data Mining (KDD), 2023
Ruizhong Qiu
Dingsu Wang
Lei Ying
H. Vincent Poor
Yifang Zhang
Hanghang Tong
DiffM
428
13
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01 Jun 2023
AbODE: Ab Initio Antibody Design using Conjoined ODEs
International Conference on Machine Learning (ICML), 2023
Yogesh Verma
Markus Heinonen
Vikas Garg
297
21
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31 May 2023
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
International Conference on Machine Learning (ICML), 2023
Qiyu Kang
Kai Zhao
Yang Song
Sijie Wang
Wee Peng Tay
199
19
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30 May 2023
Graph Neural Convection-Diffusion with Heterophily
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Kai Zhao
Qiyu Kang
Yang Song
Rui She
Sijie Wang
Wee Peng Tay
279
39
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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
269
2
0
25 May 2023
Reversible and irreversible bracket-based dynamics for deep graph neural networks
Neural Information Processing Systems (NeurIPS), 2023
A. Gruber
Kookjin Lee
N. Trask
AI4CE
249
18
0
24 May 2023
A Fractional Graph Laplacian Approach to Oversmoothing
Neural Information Processing Systems (NeurIPS), 2023
Sohir Maskey
Raffaele Paolino
Aras Bacho
Gitta Kutyniok
429
49
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22 May 2023
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks?
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Bing-Quan Liu
Wei Luo
Gang Li
Jing Huang
Boxiong Yang
AI4CE
177
5
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20 May 2023
Graph Neural Networks for Airfoil Design
F. Bonnet
AI4CE
69
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09 May 2023
Jacobian-Scaled K-means Clustering for Physics-Informed Segmentation of Reacting Flows
Shivam Barwey
V. Raman
232
2
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02 May 2023
Deep Graph Representation Learning and Optimization for Influence Maximization
International Conference on Machine Learning (ICML), 2023
Chen Ling
Junji Jiang
Junxiang Wang
My T. Thai
Lukas Xue
James Song
M. Qiu
Bo Pan
165
144
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01 May 2023
A Survey on Oversmoothing in Graph Neural Networks
T. Konstantin Rusch
Michael M. Bronstein
Siddhartha Mishra
237
303
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20 Mar 2023
Graph Neural Networks in Vision-Language Image Understanding: A Survey
The Visual Computer (TVC), 2023
Henry Senior
Greg Slabaugh
Shanxin Yuan
Luca Rossi
GNN
322
32
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07 Mar 2023
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks
See Hian Lee
Feng Ji
Wee Peng Tay
148
2
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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
219
0
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02 Mar 2023
Framelet Message Passing
Applied and Computational Harmonic Analysis (ACHA), 2023
Xinliang Liu
Bingxin Zhou
Chutian Zhang
Yu Guang Wang
234
5
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28 Feb 2023
Diffusion Probabilistic Models for Structured Node Classification
Neural Information Processing Systems (NeurIPS), 2023
Hyosoon Jang
Seonghyun Park
Sangwoo Mo
SungSoo Ahn
DiffM
398
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21 Feb 2023
Fast Temporal Wavelet Graph Neural Networks
D. Nguyen
Manh Tuan Nguyen
Truong-Son Hy
Risi Kondor
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204
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17 Feb 2023
Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning
Journal of Computational Physics (JCP), 2023
Shivam Barwey
Varun Shankar
V. Viswanathan
R. Maulik
AI4CE
364
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13 Feb 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data
Mengxi Wu
Mohammad Rostami
AI4CE
301
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29 Jan 2023
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
International Conference on Learning Representations (ICLR), 2023
Qitian Wu
Chenxiao Yang
Wen-Long Zhao
Yixuan He
David Wipf
Junchi Yan
DiffM
360
129
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23 Jan 2023
TIDE: Time Derivative Diffusion for Deep Learning on Graphs
International Conference on Machine Learning (ICML), 2022
M. Behmanesh
Maximilian Krahn
M. Ovsjanikov
DiffM
GNN
333
16
0
05 Dec 2022
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification
European Conference on Artificial Intelligence (ECAI), 2022
Moshe Eliasof
E. Haber
Eran Treister
GNN
188
0
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29 Nov 2022
GREAD: Graph Neural Reaction-Diffusion Networks
International Conference on Machine Learning (ICML), 2022
Jeongwhan Choi
Seoyoung Hong
Noseong Park
Sung-Bae Cho
DiffM
GNN
255
55
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25 Nov 2022
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments
AAAI Conference on Artificial Intelligence (AAAI), 2022
Sijie Wang
Qiyu Kang
Rui She
Wee Peng Tay
Andreas Hartmannsgruber
Diego Navarro Navarro
360
27
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21 Nov 2022
Improving Graph Neural Networks with Learnable Propagation Operators
International Conference on Machine Learning (ICML), 2022
Moshe Eliasof
Lars Ruthotto
Eran Treister
225
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31 Oct 2022
Changes from Classical Statistics to Modern Statistics and Data Science
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Shan-Yu Liu
M. Xiong
295
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Clenshaw Graph Neural Networks
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Y. Guo
Zhewei Wei
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184
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Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks
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Chenxiao Yang
Qitian Wu
Junchi Yan
220
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Correlating sparse sensing for large-scale traffic speed estimation: A Laplacian-enhanced low-rank tensor kriging approach
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Tong Nie
Guoyang Qin
Yunpeng Wang
Jian Sun
309
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21 Oct 2022
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
International Conference on Learning Representations (ICLR), 2022
Alessio Gravina
D. Bacciu
Claudio Gallicchio
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275
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18 Oct 2022
Modular Flows: Differential Molecular Generation
Neural Information Processing Systems (NeurIPS), 2022
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Samuel Kaski
Markus Heinonen
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Generalized energy and gradient flow via graph framelets
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Dai Shi
Zhiqi Shao
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288
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Representing Spatial Trajectories as Distributions
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Dídac Surís
Carl Vondrick
226
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