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Understanding over-squashing and bottlenecks on graphs via curvature
29 November 2021
Jake Topping
Francesco Di Giovanni
B. Chamberlain
Xiaowen Dong
M. Bronstein
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Papers citing
"Understanding over-squashing and bottlenecks on graphs via curvature"
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Title
Continual Learning on Graphs: Challenges, Solutions, and Opportunities
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Dongjin Song
Dacheng Tao
CLL
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7
0
18 Feb 2024
Scalable Graph Self-Supervised Learning
Ali Saheb Pasand
Reza Moravej
Mahdi Biparva
Raika Karimi
Ali Ghodsi
SSL
11
0
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14 Feb 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning
Theodore Papamarkou
Tolga Birdal
Michael M. Bronstein
Gunnar Carlsson
Justin Curry
...
Petar Velickovic
Bei Wang
Yusu Wang
Guo-Wei Wei
Ghada Zamzmi
AI4CE
54
24
0
14 Feb 2024
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs
Florian Grötschla
Joël Mathys
Robert Veres
Roger Wattenhofer
16
3
0
09 Feb 2024
Similarity-based Neighbor Selection for Graph LLMs
Rui Li
Jiwei Li
Jiawei Han
Guoyin Wang
20
3
0
06 Feb 2024
Future Directions in the Theory of Graph Machine Learning
Christopher Morris
Fabrizio Frasca
Nadav Dym
Haggai Maron
.Ismail .Ilkan Ceylan
Ron Levie
Derek Lim
Michael M. Bronstein
Martin Grohe
Stefanie Jegelka
AI4CE
30
4
0
03 Feb 2024
Position: Graph Foundation Models are Already Here
Haitao Mao
Zhikai Chen
Wenzhuo Tang
Jianan Zhao
Yao Ma
Tong Zhao
Neil Shah
Mikhail Galkin
Jiliang Tang
AI4CE
46
25
0
03 Feb 2024
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization
Mahdi Biparva
Raika Karimi
Faezeh Faez
Yingxue Zhang
28
3
0
02 Feb 2024
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
Chloe X. Wang
Oleksii Tsepa
Jun Ma
Bo Wang
Mamba
25
85
0
01 Feb 2024
Graph Transformers without Positional Encodings
Ayush Garg
14
0
0
31 Jan 2024
FedGT: Federated Node Classification with Scalable Graph Transformer
Zaixin Zhang
Qingyong Hu
Yang Yu
Weibo Gao
Qi Liu
FedML
33
2
0
26 Jan 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
21
8
0
26 Jan 2024
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing
Li Sun
Zhenhao Huang
Hua Wu
Junda Ye
Hao Peng
Zhengtao Yu
Philip S. Yu
24
11
0
23 Jan 2024
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
Puja Trivedi
Mark Heimann
Rushil Anirudh
Danai Koutra
Jayaraman J. Thiagarajan
UQCV
24
4
0
07 Jan 2024
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning
Li Sun
Zhenhao Huang
Zixi Wang
Feiyang Wang
Hao Peng
Philip Yu
14
16
0
02 Jan 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Federico Errica
Henrik Christiansen
Viktor Zaverkin
Takashi Maruyama
Mathias Niepert
Francesco Alesiani
45
6
0
27 Dec 2023
NodeMixup: Tackling Under-Reaching for Graph Neural Networks
Weigang Lu
Ziyu Guan
Wei Zhao
Yaming Yang
Long Jin
27
11
0
20 Dec 2023
Simplicial Representation Learning with Neural
k
k
k
-Forms
Kelly Maggs
Celia Hacker
Bastian Alexander Rieck
AI4CE
25
10
0
13 Dec 2023
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs
Jin Li
Qirong Zhang
Shuling Xu
Xinlong Chen
Longkun Guo
Yanglan Fu
21
0
0
13 Dec 2023
The Graph Lottery Ticket Hypothesis: Finding Sparse, Informative Graph Structure
Anton Tsitsulin
Bryan Perozzi
24
5
0
08 Dec 2023
Large Language Models on Graphs: A Comprehensive Survey
Bowen Jin
Gang Liu
Chi Han
Meng-Long Jiang
Heng Ji
Jiawei Han
AI4CE
24
135
0
05 Dec 2023
The Self-Loop Paradox: Investigating the Impact of Self-Loops on Graph Neural Networks
Moritz Lampert
Ingo Scholtes
GNN
SSL
17
4
0
04 Dec 2023
Recurrent Distance Filtering for Graph Representation Learning
Yuhui Ding
Antonio Orvieto
Bobby He
Thomas Hofmann
GNN
27
6
0
03 Dec 2023
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks
Keke Huang
Pietro Lió
16
1
0
30 Nov 2023
Over-Squashing in Riemannian Graph Neural Networks
Julia Balla
16
0
0
27 Nov 2023
Effective Structural Encodings via Local Curvature Profiles
Lukas Fesser
Melanie Weber
19
3
0
24 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
11
0
13 Nov 2023
Mixture of Weak & Strong Experts on Graphs
Hanqing Zeng
Hanjia Lyu
Diyi Hu
Yinglong Xia
Jiebo Luo
23
3
0
09 Nov 2023
Hybrid Focal and Full-Range Attention Based Graph Transformers
Minhong Zhu
Zhenhao Zhao
Weiran Cai
25
0
0
08 Nov 2023
Sparse Training of Discrete Diffusion Models for Graph Generation
Yiming Qin
Clément Vignac
Pascal Frossard
19
12
0
03 Nov 2023
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
Xuan Li
Zhanke Zhou
Jiangchao Yao
Yu Rong
Lu Zhang
Bo Han
27
3
0
02 Nov 2023
Transformers as Graph-to-Graph Models
James Henderson
Alireza Mohammadshahi
Andrei Catalin Coman
Lesly Miculicich
GNN
27
6
0
27 Oct 2023
Learning the dynamics of a one-dimensional plasma model with graph neural networks
Diogo D Carvalho
Diogo R Ferreira
Luís O Silva
AI4CE
8
0
0
26 Oct 2023
Graph Neural Networks with a Distribution of Parametrized Graphs
See Hian Lee
Feng Ji
Kelin Xia
Wee Peng Tay
31
0
0
25 Oct 2023
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
Haitz Sáez de Ocáriz Borde
Anastasis Kratsios
24
4
0
23 Oct 2023
UniMAP: Universal SMILES-Graph Representation Learning
Shikun Feng
Lixin Yang
Wei-Ying Ma
Yanyan Lan
OffRL
11
6
0
22 Oct 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond
Andi Han
Dai Shi
Lequan Lin
Junbin Gao
AI4CE
GNN
35
20
0
16 Oct 2023
Mirage: Model-Agnostic Graph Distillation for Graph Classification
Mridul Gupta
S. Manchanda
H. Kodamana
Sayan Ranu
DD
18
14
0
14 Oct 2023
Non-backtracking Graph Neural Networks
Seonghyun Park
Narae Ryu
Ga-Rin Kim
Dongyeop Woo
Se-Young Yun
Sungsoo Ahn
30
4
0
11 Oct 2023
Atom-Motif Contrastive Transformer for Molecular Property Prediction
Wentao Yu
Shuo Chen
Chen Gong
Gang Niu
Masashi Sugiyama
ViT
37
2
0
11 Oct 2023
Supercharging Graph Transformers with Advective Diffusion
Qitian Wu
Chenxiao Yang
Kaipeng Zeng
Fan Nie
AI4CE
45
6
0
10 Oct 2023
On the Two Sides of Redundancy in Graph Neural Networks
Vidya Sagar Sharma
Samir Moustafa
Johannes Langguth
Wilfried N. Gansterer
Nils M. Kriege
19
1
0
06 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks
Chendi Qian
Andrei Manolache
Kareem Ahmed
Zhe Zeng
Guy Van den Broeck
Mathias Niepert
Christopher Morris
31
12
0
03 Oct 2023
Transformers are efficient hierarchical chemical graph learners
Zihan Pengmei
Zimu Li
Chih-chan Tien
Risi Kondor
Aaron R Dinner
GNN
19
1
0
02 Oct 2023
Locality-Aware Graph-Rewiring in GNNs
Federico Barbero
A. Velingker
Amin Saberi
Michael M. Bronstein
Francesco Di Giovanni
33
27
0
02 Oct 2023
Cooperative Graph Neural Networks
Ben Finkelshtein
Xingyue Huang
Michael M. Bronstein
.Ismail .Ilkan Ceylan
GNN
22
19
0
02 Oct 2023
ResolvNet: A Graph Convolutional Network with multi-scale Consistency
Christian Koke
Abhishek Saroha
Yuesong Shen
Marvin Eisenberger
Daniel Cremers
GNN
22
1
0
30 Sep 2023
Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature
Lukas Fesser
Melanie Weber
65
19
0
17 Sep 2023
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization
Haitz Sáez de Ocáriz Borde
Alvaro Arroyo
Ismael Morales
Ingmar Posner
Xiaowen Dong
12
9
0
09 Sep 2023
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning
Sungjun Cho
Seunghyuk Cho
Sungwoo Park
Hankook Lee
Ho Hin Lee
Moontae Lee
20
6
0
08 Sep 2023
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