ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2202.04579
  4. Cited By
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and
  Oversmoothing in GNNs
v1v2v3v4 (latest)

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

Neural Information Processing Systems (NeurIPS), 2022
9 February 2022
Cristian Bodnar
Francesco Di Giovanni
B. Chamberlain
Pietro Lio
Michael M. Bronstein
ArXiv (abs)PDFHTML

Papers citing "Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs"

50 / 136 papers shown
Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves
Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves
Alessio Borgi
Fabrizio Silvestri
Pietro Lio
91
0
0
28 Nov 2025
Complex-Weighted Convolutional Networks: Provable Expressiveness via Complex Diffusion
Complex-Weighted Convolutional Networks: Provable Expressiveness via Complex Diffusion
Cristina López Amado
Tassilo Schwarz
Yu Tian
Renaud Lambiotte
DiffMGNN
331
0
0
17 Nov 2025
How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation
How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation
Zinuo You
Jin Zheng
John Cartlidge
124
0
0
09 Nov 2025
Learning from Frustration: Torsor CNNs on Graphs
Learning from Frustration: Torsor CNNs on Graphs
Daiyuan Li
Shreya Arya
Robert Ghrist
110
0
0
27 Oct 2025
Learning the Structure of Connection Graphs
Learning the Structure of Connection Graphs
Leonardo Di Nino
Gabriele DÁcunto
Sergio Barbarossa
Paolo Di Lorenzo
68
0
0
13 Oct 2025
Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs
Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs
Emanuele Mule
Stefano Fiorini
Antonio Purificato
F. Siciliano
Stefano Coniglio
Fabrizio Silvestri
140
1
0
06 Oct 2025
On the Sheafification of Higher-Order Message Passing
On the Sheafification of Higher-Order Message Passing
Jacob Hume
Pietro Liò
AI4CE
158
0
0
27 Sep 2025
GraphUniverse: Enabling Systematic Evaluation of Inductive Generalization
GraphUniverse: Enabling Systematic Evaluation of Inductive Generalization
Louis Van Langendonck
Guillermo Bernardez
Nina Miolane
Pere Barlet-Ros
119
0
0
25 Sep 2025
Gumbel-MPNN: Graph Rewiring with Gumbel-Softmax
Gumbel-MPNN: Graph Rewiring with Gumbel-Softmax
Marcel Hoffmann
Lukas Galke
A. Scherp
141
0
0
24 Aug 2025
Personalized Subgraph Federated Learning with Sheaf Collaboration
Personalized Subgraph Federated Learning with Sheaf Collaboration
Wenfei Liang
Yanan Zhao
Rui She
Yiming Li
Wee Peng Tay
FedML
134
0
0
19 Aug 2025
Wavy Transformer
Wavy Transformer
Satoshi Noguchi
Yoshinobu Kawahara
140
0
0
18 Aug 2025
Graph Neural Diffusion via Generalized Opinion Dynamics
Graph Neural Diffusion via Generalized Opinion Dynamics
Asela Hevapathige
Asiri Wijesinghe
Ahad N. Zehmakan
DiffMAI4CE
141
2
0
15 Aug 2025
Multimodal Sheaf-based Network for Glioblastoma Molecular Subtype Prediction
Multimodal Sheaf-based Network for Glioblastoma Molecular Subtype Prediction
Shekhnaz Idrissova
Islem Rekik
277
0
0
13 Aug 2025
Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization
Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization
Yoonhyuk Choi
Jiho Choi
Chong-Kwon Kim
242
0
0
01 Aug 2025
A Neuro-Symbolic Approach for Probabilistic Reasoning on Graph Data
A Neuro-Symbolic Approach for Probabilistic Reasoning on Graph Data
Raffaele Pojer
Baptiste Caramiaux
Kim G. Larsen
M. Jaeger
NAI
167
0
0
29 Jul 2025
Cooperative Sheaf Neural Networks
Cooperative Sheaf Neural Networks
André Ribeiro
Ana Luiza Tenório
Juan Belieni
Amauri Souza
Diego Mesquita
GNN
232
0
0
01 Jul 2025
Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing
Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-PassingInternational Conference on Learning Representations (ICLR), 2025
Diaaeldin Taha
James Chapman
Marzieh Eidi
Karel Devriendt
Guido Montúfar
195
2
0
06 Jun 2025
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
Pavlo Vasylenko
Lennart Bastian
Sarah Osentoski
Hardik Kabaria
John L. Davenport
...
Joseph G. Kocheemoolayil
Nastaran Shahmansouri
Adrian Lew
Theodore Papamarkou
Tolga Birdal
355
1
0
27 May 2025
Graph Wave Networks
Graph Wave NetworksThe Web Conference (WWW), 2025
Juwei Yue
Haikuo Li
Jiawei Sheng
Yihan Guo
Xinghua Zhang
Chuan Zhou
Tingwen Liu
Li Guo
662
3
0
26 May 2025
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding
Manuel Lecha
Andrea Cavallo
Francesca Dominici
Ran Levi
Alessio Del Bue
Elvin Isufi
Pietro Morerio
Claudio Battiloro
AI4CE
404
2
0
23 May 2025
Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
Adrian Arnaiz-Rodriguez
Federico Errica
AI4CE
356
8
0
21 May 2025
Graph and Simplicial Complex Prediction Gaussian Process via the Hodgelet Representations
Graph and Simplicial Complex Prediction Gaussian Process via the Hodgelet Representations
Mathieu Alain
So Takao
Xiaowen Dong
Bastian Rieck
Emmanuel Noutahi
270
0
0
16 May 2025
What Can We Learn From MIMO Graph Convolutions?
What Can We Learn From MIMO Graph Convolutions?International Joint Conference on Artificial Intelligence (IJCAI), 2025
Andreas Roth
Thomas Liebig
351
0
0
16 May 2025
Latent Theory of Mind: A Decentralized Diffusion Architecture for Cooperative Manipulation
Latent Theory of Mind: A Decentralized Diffusion Architecture for Cooperative Manipulation
Chengyang He
Gadiel Sznaier Camps
Xu Liu
Mac Schwager
Guillaume Sartoretti
244
3
0
14 May 2025
Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning
Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order LearningIEEE Access (IEEE Access), 2025
Seongjin Choi
Gahee Kim
Yong-Geun Oh
319
0
0
09 May 2025
Understanding GNNs and Homophily in Dynamic Node Classification
Understanding GNNs and Homophily in Dynamic Node ClassificationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Michael Ito
Danai Koutra
Jenna Wiens
233
3
0
29 Apr 2025
Heterophily-informed Message Passing
Heterophily-informed Message Passing
Haishan Wang
Arno Solin
Vikas Garg
400
0
0
28 Apr 2025
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
Jielong Lu
Zhihao Wu
Zhiling Cai
Yueyang Pi
Shiping Wang
GNN
467
0
0
18 Apr 2025
Neural Variable-Order Fractional Differential Equation Networks
Neural Variable-Order Fractional Differential Equation NetworksAAAI Conference on Artificial Intelligence (AAAI), 2025
Wenjun Cui
Qiyu Kang
Xuhao Li
Kai Zhao
Wee Peng Tay
Weihua Deng
Yidong Li
258
6
0
20 Mar 2025
Are GNNs doomed by the topology of their input graph?
Are GNNs doomed by the topology of their input graph?
Amine Mohamed Aboussalah
Abdessalam Ed-dib
206
1
0
25 Feb 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
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
337
32
0
15 Feb 2025
Simple Path Structural Encoding for Graph Transformers
Simple Path Structural Encoding for Graph Transformers
Louis Airale
Antonio Longa
Mattia Rigon
Baptiste Caramiaux
Roberto Passerone
605
2
0
13 Feb 2025
SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding
SIGMA: Sheaf-Informed Geometric Multi-Agent PathfindingIEEE International Conference on Robotics and Automation (ICRA), 2025
Shuhao Liao
Weihang Xia
Yuhong Cao
Weiheng Dai
Chengyang He
Wenjun Wu
Guillaume Sartoretti
AI4CE
505
2
0
10 Feb 2025
Personalized Layer Selection for Graph Neural Networks
Personalized Layer Selection for Graph Neural Networks
Kartik Sharma
Vineeth Rakesh Mohan
Yingtong Dou
Srijan Kumar
Mahashweta Das
461
0
0
24 Jan 2025
Enhancing Graph Representation Learning with Localized Topological Features
Enhancing Graph Representation Learning with Localized Topological Features
Zuoyu Yan
Qi Zhao
Ze Ye
Tengfei Ma
Liangcai Gao
Zhi Tang
Yusu Wang
Chao Chen
243
4
0
17 Jan 2025
Higher-Order Topological Directionality and Directed Simplicial Neural Networks
Higher-Order Topological Directionality and Directed Simplicial Neural NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Manuel Lecha
Andrea Cavallo
Francesca Dominici
Elvin Isufi
Claudio Battiloro
AI4CE
521
5
0
17 Jan 2025
Quantum-Like Contextuality in Large Language Models
Quantum-Like Contextuality in Large Language Models
K. Lo
M. Sadrzadeh
Shane Mansfield
LRM
206
1
0
21 Dec 2024
Dirac-Equation Signal Processing: Physics Boosts Topological Machine
  Learning
Dirac-Equation Signal Processing: Physics Boosts Topological Machine LearningPNAS Nexus (PNAS Nexus), 2024
Runyue Wang
Yu Tian
Pietro Liò
Ginestra Bianconi
233
7
0
06 Dec 2024
Distributed-Order Fractional Graph Operating Network
Distributed-Order Fractional Graph Operating NetworkNeural Information Processing Systems (NeurIPS), 2024
Kai Zhao
Xuhao Li
Qiyu Kang
Feng Ji
Qinxu Ding
Yanan Zhao
Wenfei Liang
Wee Peng Tay
GNN
199
4
0
08 Nov 2024
Bayesian Sheaf Neural Networks
Bayesian Sheaf Neural Networks
Patrick Gillespie
Vasileios Maroulas
Ioannis Schizas
D. Boothe
Vasileios Maroulas
227
3
0
12 Oct 2024
Unitary convolutions for learning on graphs and groups
Unitary convolutions for learning on graphs and groupsNeural Information Processing Systems (NeurIPS), 2024
B. Kiani
Lukas Fesser
Melanie Weber
GNN
304
4
0
07 Oct 2024
Molecular topological deep learning for polymer property prediction
Molecular topological deep learning for polymer property prediction
Cong Shen
Yipeng Zhang
Fei Han
Kelin Xia
AI4CE
195
1
0
07 Oct 2024
SCNode: Spatial and Contextual Coordinates for Graph Representation Learning
SCNode: Spatial and Contextual Coordinates for Graph Representation Learning
Md Joshem Uddin
Astrit Tola
Varin Sikand
Cüneyt Gürcan Akçora
Baris Coskunuzer
274
1
0
03 Oct 2024
Knowledge Planning in Large Language Models for Domain-Aligned
  Counseling Summarization
Knowledge Planning in Large Language Models for Domain-Aligned Counseling SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Aseem Srivastava
Smriti Joshi
Tanmoy Chakraborty
Md. Shad Akhtar
159
9
0
23 Sep 2024
Transformers from Diffusion: A Unified Framework for Neural Message Passing
Transformers from Diffusion: A Unified Framework for Neural Message Passing
Qitian Wu
David Wipf
Junchi Yan
DiffM
525
1
0
13 Sep 2024
CliquePH: Higher-Order Information for Graph Neural Networks through
  Persistent Homology on Clique Graphs
CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique GraphsLOG IN (LOG IN), 2024
Davide Buffelli
Farzin Soleymani
Bastian Rieck
GNN
267
3
0
12 Sep 2024
Heterogeneous Sheaf Neural Networks
Heterogeneous Sheaf Neural Networks
Luke Braithwaite
Iulia Duta
Pietro Liò
301
6
0
12 Sep 2024
Exploring the Potential of Large Language Models for Heterophilic Graphs
Exploring the Potential of Large Language Models for Heterophilic GraphsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Yuxia Wu
Shujie Li
Yuan Fang
Chuan Shi
409
7
0
26 Aug 2024
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks
Ferran Hernandez Caralt
Guillermo Bernárdez Gil
Iulia Duta
Pietro Lio
Eduard Alarcón-Cot
164
6
0
30 Jul 2024
GLAudio Listens to the Sound of the Graph
GLAudio Listens to the Sound of the Graph
Aurelio Sulser
Johann Wenckstern
Clara Kuempel
143
0
0
19 Jul 2024
123
Next