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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"
40 / 190 papers shown
Gradient Gating for Deep Multi-Rate Learning on Graphs
International Conference on Learning Representations (ICLR), 2022
T. Konstantin Rusch
B. Chamberlain
Michael W. Mahoney
Michael M. Bronstein
Siddhartha Mishra
395
71
0
02 Oct 2022
Provably expressive temporal graph networks
Neural Information Processing Systems (NeurIPS), 2022
Amauri Souza
Diego Mesquita
Samuel Kaski
Vikas Garg
261
70
0
29 Sep 2022
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges
IEEE Access (IEEE Access), 2022
Hwan Kim
Byung Suk Lee
Won-Yong Shin
Sungsu Lim
GNN
265
110
0
29 Sep 2022
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation
Neurocomputing (Neurocomputing), 2022
H. Xiu
Xin Liu
Weimin Wang
Kyoung-Sook Kim
T. Shinohara
Qiong Chang
M. Matsuoka
3DPC
322
14
0
20 Sep 2022
On the Robustness of Graph Neural Diffusion to Topology Perturbations
Neural Information Processing Systems (NeurIPS), 2022
Yang Song
Qiyu Kang
Sijie Wang
Zhao Kai
Wee Peng Tay
DiffM
AAML
234
41
0
16 Sep 2022
pathGCN: Learning General Graph Spatial Operators from Paths
International Conference on Machine Learning (ICML), 2022
Moshe Eliasof
E. Haber
Eran Treister
3DPC
GNN
124
33
0
15 Jul 2022
Equivariant Hypergraph Diffusion Neural Operators
International Conference on Learning Representations (ICLR), 2022
Peihao Wang
Shenghao Yang
Yunyu Liu
Zinan Lin
Pan Li
DiffM
303
50
0
14 Jul 2022
Structural Inference of Networked Dynamical Systems with Universal Differential Equations
Chaos (Chaos), 2022
James Koch
Zhao Chen
Aaron Tuor
Ján Drgoňa
D. Vrabie
PINN
305
12
0
11 Jul 2022
Physics-Informed Deep Neural Operator Networks
S. Goswami
Aniruddha Bora
Yue Yu
George Karniadakis
PINN
AI4CE
308
154
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
156
0
0
04 Jul 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion
International Conference on Machine Learning (ICML), 2022
Qi Chen
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
DiffM
276
44
0
29 Jun 2022
Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks
Winfried Lotzsch
Simon Ohler
Johannes Otterbach
AI4CE
192
20
0
28 Jun 2022
Understanding convolution on graphs via energies
Francesco Di Giovanni
J. Rowbottom
B. Chamberlain
Thomas Markovich
Michael M. Bronstein
GNN
275
67
0
22 Jun 2022
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
International Conference on Learning Representations (ICLR), 2022
Yuelin Wang
Kai Yi
Xinliang Liu
Yu Guang Wang
Shi Jin
320
43
0
11 Jun 2022
Inverse Boundary Value and Optimal Control Problems on Graphs: A Neural and Numerical Synthesis
Mehdi Garrousian
Amirhossein Nouranizadeh
220
0
0
06 Jun 2022
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering
AAAI Conference on Artificial Intelligence (AAAI), 2022
Shouheng Li
Dongwoo Kim
Qing Wang
275
19
0
06 Jun 2022
Capturing Graphs with Hypo-Elliptic Diffusions
Neural Information Processing Systems (NeurIPS), 2022
Csaba Tóth
Darrick Lee
Celia Hacker
Harald Oberhauser
248
14
0
27 May 2022
Equivariant Mesh Attention Networks
Sourya Basu
Jose Gallego-Posada
Francesco Vigano
J. Rowbottom
Taco S. Cohen
3DPC
MDE
AI4CE
221
11
0
21 May 2022
Scalable algorithms for physics-informed neural and graph networks
Data-Centric Engineering (DE), 2022
K. Shukla
Mengjia Xu
N. Trask
George Karniadakis
PINN
AI4CE
249
52
0
16 May 2022
Learning Label Initialization for Time-Dependent Harmonic Extension
International Joint Conference on Artificial Intelligence (IJCAI), 2022
A. Azad
161
1
0
03 May 2022
Graph Anisotropic Diffusion
Ahmed A. A. Elhag
Gabriele Corso
Hannes Stärk
Michael M. Bronstein
DiffM
GNN
169
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
218
10
0
19 Apr 2022
A Survey on Graph Representation Learning Methods
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Shima Khoshraftar
A. An
GNN
AI4TS
337
194
0
04 Apr 2022
Incorporating Heterophily into Graph Neural Networks for Graph Classification
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2022
Jiayi Yang
Sourav Medya
Wei Ye
247
6
0
15 Mar 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Neural Information Processing Systems (NeurIPS), 2022
Cristian Bodnar
Francesco Di Giovanni
B. Chamberlain
Pietro Lio
Michael M. Bronstein
443
216
0
09 Feb 2022
Graph-Coupled Oscillator Networks
International Conference on Machine Learning (ICML), 2022
T. Konstantin Rusch
B. Chamberlain
J. Rowbottom
S. Mishra
M. Bronstein
326
143
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
160
1
0
18 Dec 2021
Modeling Advection on Directed Graphs using Matérn Gaussian Processes for Traffic Flow
Danielle C. Maddix
Nadim Saad
Bernie Wang
161
0
0
14 Dec 2021
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks
Vijay Lingam
C. Ekbote
Manan Sharma
Rahul Ragesh
Arun Shankar Iyer
Sundararajan Sellamanickam
209
6
0
07 Dec 2021
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features
Emanuele Rossi
Henry Kenlay
Maria I. Gorinova
B. Chamberlain
Xiaowen Dong
M. Bronstein
246
125
0
23 Nov 2021
HAD-Net: Hybrid Attention-based Diffusion Network for Glucose Level Forecast
Quentin Blampey
M. Rahim
MedIm
99
0
0
14 Nov 2021
Beltrami Flow and Neural Diffusion on Graphs
B. Chamberlain
J. Rowbottom
D. Eynard
Francesco Di Giovanni
Xiaowen Dong
M. Bronstein
AI4CE
263
98
0
18 Oct 2021
Weakly Supervised Concept Map Generation through Task-Guided Graph Translation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Jiaying Lu
Xiangjue Dong
Carl Yang
246
4
0
08 Oct 2021
Space-Time Graph Neural Networks
Samar Hadou
Charilaos I. Kanatsoulis
Alejandro Ribeiro
AI4TS
197
19
0
06 Oct 2021
Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations
Research in the Mathematical Sciences (Res. Math. Sci.), 2021
Ido Ben-Yair
Gil Ben Shalom
Moshe Eliasof
Eran Treister
MQ
263
5
0
31 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Neural Information Processing Systems (NeurIPS), 2021
Moshe Eliasof
E. Haber
Eran Treister
GNN
AI4CE
297
149
0
04 Aug 2021
Evaluating Deep Graph Neural Networks
Wentao Zhang
Zeang Sheng
Yuezihan Jiang
Yikuan Xia
Jun Gao
Zhi-Xin Yang
Tengjiao Wang
GNN
AI4CE
163
33
0
02 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
ACM Computing Surveys (CSUR), 2021
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Bo Pan
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
666
34
0
21 Jul 2021
Diffusion Mechanism in Residual Neural Network: Theory and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Tangjun Wang
Zehao Dou
Chenglong Bao
Zuoqiang Shi
DiffM
244
19
0
07 May 2021
Mimetic Neural Networks: A unified framework for Protein Design and Folding
Frontiers in Bioinformatics (Front. Bioinform.), 2021
Moshe Eliasof
Tue Boesen
E. Haber
C. Keasar
Eran Treister
AI4CE
142
12
0
07 Feb 2021
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