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2210.00513
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Gradient Gating for Deep Multi-Rate Learning on Graphs
International Conference on Learning Representations (ICLR), 2022
2 October 2022
T. Konstantin Rusch
B. Chamberlain
Michael W. Mahoney
Michael M. Bronstein
Siddhartha Mishra
Re-assign community
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Papers citing
"Gradient Gating for Deep Multi-Rate Learning on Graphs"
44 / 44 papers shown
Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models
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HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
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Haohui Wang
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Xiaojie Guo
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Si Zhang
Dongqi Fu
Dawei Zhou
168
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Topology-Assisted Spatio-Temporal Pattern Disentangling for Scalable MARL in Large-scale Autonomous Traffic Control
Rongpeng Li
Jianhang Zhu
Jiahao Huang
Zhifeng Zhao
Honggang Zhang
319
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14 Jun 2025
Topology-aware Neural Flux Prediction Guided by Physics
Haoyang Jiang
James Evans
Xingquan Zhu
Yi He
AI4CE
285
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06 Jun 2025
The Oversmoothing Fallacy: A Misguided Narrative in GNN Research
M. Park
Sunghyun Choi
Jaeseung Heo
Eunhyeok Park
Dongwoo Kim
AI4CE
422
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05 Jun 2025
Directed Homophily-Aware Graph Neural Network
Aihu Zhang
Jiaxing Xu
Mengcheng Lan
Shili Xiang
Yiping Ke
316
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28 May 2025
What Can We Learn From MIMO Graph Convolutions?
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Andreas Roth
Thomas Liebig
427
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16 May 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Jonathan Kouchly
Ben Finkelshtein
M. Bronstein
Ron Levie
397
0
0
25 Apr 2025
H
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GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning
Rui Xue
Tianfu Wu
AI4CE
380
0
0
16 Apr 2025
Using Subgraph GNNs for Node Classification:an Overlooked Potential Approach
Qian Zeng
Xin Lin
Jingyi Gao
Yang Yu
410
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09 Mar 2025
Channel-Attentive Graph Neural Networks
Industrial Conference on Data Mining (IDM), 2024
Tuğrul Hasan Karabulut
İnci M. Baytaş
483
1
0
01 Mar 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
Alvaro Arroyo
Alessio Gravina
Benjamin Gutteridge
Federico Barbero
Claudio Gallicchio
Xiaowen Dong
Michael M. Bronstein
P. Vandergheynst
393
39
0
15 Feb 2025
Personalized Layer Selection for Graph Neural Networks
Kartik Sharma
Vineeth Rakesh Mohan
Yingtong Dou
Srijan Kumar
Mahashweta Das
510
0
0
24 Jan 2025
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks
Biswadeep Chakraborty
H. Kumar
Saibal Mukhopadhyay
358
2
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10 Dec 2024
Graph Neural Networks Need Cluster-Normalize-Activate Modules
Neural Information Processing Systems (NeurIPS), 2024
Arseny Skryagin
Felix Divo
Mohammad Amin Ali
Devendra Singh Dhami
Kristian Kersting
GNN
249
5
0
05 Dec 2024
Deep Graph Attention Networks
Jun Kato
Airi Mita
Keita Gobara
Akihiro Inokuchi
GNN
174
0
0
21 Oct 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph
LOG IN (LOG IN), 2024
Andreas Roth
Franka Bause
Nils M. Kriege
Thomas Liebig
292
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17 Sep 2024
Transformers from Diffusion: A Unified Framework for Neural Message Passing
Qitian Wu
David Wipf
Junchi Yan
DiffM
598
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13 Sep 2024
Simplifying the Theory on Over-Smoothing
Andreas Roth
348
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16 Jul 2024
Graph Neural Reaction Diffusion Models
Moshe Eliasof
Eldad Haber
Eran Treister
DiffM
AI4CE
342
8
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16 Jun 2024
Oversmoothing Alleviation in Graph Neural Networks: A Survey and Unified View
Yufei Jin
Xingquan Zhu
362
2
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02 May 2024
Quadratic Binary Optimization with Graph Neural Networks
Moshe Eliasof
Eldad Haber
GNN
341
0
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07 Apr 2024
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
Adarsh Jamadandi
Celia Rubio-Madrigal
R. Burkholz
413
17
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06 Apr 2024
Graph Neural Aggregation-diffusion with Metastability
Kaiyuan Cui
Xinyan Wang
Zicheng Zhang
Weichen Zhao
427
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29 Mar 2024
Entropy Aware Message Passing in Graph Neural Networks
Philipp Nazari
Oliver Lemke
Davide Guidobene
Artiom Gesp
158
0
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07 Mar 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Chenhui Deng
Zichao Yue
Zhiru Zhang
403
79
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02 Mar 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
404
5
0
23 Feb 2024
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond
Andi Han
Dai Shi
Lequan Lin
Junbin Gao
AI4CE
GNN
365
33
0
16 Oct 2023
HoloNets: Spectral Convolutions do extend to Directed Graphs
International Conference on Learning Representations (ICLR), 2023
Christian Koke
Zorah Lähner
481
24
0
03 Oct 2023
Cooperative Graph Neural Networks
International Conference on Machine Learning (ICML), 2023
Ben Finkelshtein
Xingyue Huang
Michael M. Bronstein
.Ismail .Ilkan Ceylan
GNN
464
55
0
02 Oct 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks
LOG IN (LOG IN), 2023
Andreas Roth
Thomas Liebig
372
20
0
31 Aug 2023
Feature Transportation Improves Graph Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2023
Moshe Eliasof
E. Haber
Eran Treister
GNN
328
24
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29 Jul 2023
Provably Powerful Graph Neural Networks for Directed Multigraphs
AAAI Conference on Artificial Intelligence (AAAI), 2023
Béni Egressy
Luc von Niederhäusern
Jovan Blanusa
Erik Altman
Roger Wattenhofer
Kubilay Atasu
296
35
0
20 Jun 2023
How does over-squashing affect the power of GNNs?
Francesco Di Giovanni
T. Konstantin Rusch
Michael M. Bronstein
Andreea Deac
Marc Lackenby
Siddhartha Mishra
Petar Velivcković
577
55
0
06 Jun 2023
Edge Directionality Improves Learning on Heterophilic Graphs
LOG IN (LOG IN), 2023
Emanuele Rossi
Bertrand Charpentier
Francesco Di Giovanni
Fabrizio Frasca
Stephan Günnemann
Michael M. Bronstein
460
123
0
17 May 2023
DRew: Dynamically Rewired Message Passing with Delay
International Conference on Machine Learning (ICML), 2023
Benjamin Gutteridge
Xiaowen Dong
Michael M. Bronstein
Francesco Di Giovanni
395
90
0
13 May 2023
A Survey on Oversmoothing in Graph Neural Networks
T. Konstantin Rusch
Michael M. Bronstein
Siddhartha Mishra
334
332
0
20 Mar 2023
Graph Positional Encoding via Random Feature Propagation
International Conference on Machine Learning (ICML), 2023
Moshe Eliasof
Fabrizio Frasca
Beatrice Bevilacqua
Eran Treister
Gal Chechik
Haggai Maron
412
33
0
06 Mar 2023
G-Signatures: Global Graph Propagation With Randomized Signatures
Bernhard Schafl
Lukas Gruber
Johannes Brandstetter
Sepp Hochreiter
379
4
0
17 Feb 2023
Multi-Scale Message Passing Neural PDE Solvers
Léonard Equer
T. Konstantin Rusch
Siddhartha Mishra
AI4CE
255
13
0
07 Feb 2023
Improving Graph Neural Networks with Learnable Propagation Operators
International Conference on Machine Learning (ICML), 2022
Moshe Eliasof
Lars Ruthotto
Eran Treister
351
28
0
31 Oct 2022
Not too little, not too much: a theoretical analysis of graph (over)smoothing
Neural Information Processing Systems (NeurIPS), 2022
Nicolas Keriven
427
156
0
24 May 2022
Graph Representation Learning via Aggregation Enhancement
Maxim Fishman
Chaim Baskin
Evgenii Zheltonozhskii
Almog David
Ron Banner
A. Mendelson
352
0
0
30 Jan 2022
Adaptive Universal Generalized PageRank Graph Neural Network
International Conference on Learning Representations (ICLR), 2020
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
1.2K
966
0
14 Jun 2020
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