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Generalized Simplicial Attention Neural Networks

Generalized Simplicial Attention Neural Networks

5 September 2023
Claudio Battiloro
Lucia Testa
Lorenzo Giusti
S. Sardellitti
P. Lorenzo
Sergio Barbarossa
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Papers citing "Generalized Simplicial Attention Neural Networks"

16 / 16 papers shown
Title
Matched Topological Subspace Detector
Matched Topological Subspace Detector
Chengen Liu
Victor M. Tenorio
Antonio G. Marques
Elvin Isufi
21
0
0
08 Apr 2025
Higher-Order Topological Directionality and Directed Simplicial Neural Networks
Higher-Order Topological Directionality and Directed Simplicial Neural Networks
M. Lecha
Andrea Cavallo
Francesca Dominici
Elvin Isufi
Claudio Battiloro
AI4CE
151
2
0
17 Jan 2025
Dirac-Equation Signal Processing: Physics Boosts Topological Machine
  Learning
Dirac-Equation Signal Processing: Physics Boosts Topological Machine Learning
Runyue Wang
Yu Tian
Pietro Liò
Ginestra Bianconi
78
2
0
06 Dec 2024
Graph Classification Gaussian Processes via Hodgelet Spectral Features
Graph Classification Gaussian Processes via Hodgelet Spectral Features
Mathieu Alain
So Takao
Xiaowen Dong
Bastian Alexander Rieck
Emmanuel Noutahi
22
2
0
14 Oct 2024
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
Mathilde Papillon
Guillermo Bernardez
Claudio Battiloro
Nina Miolane
BDL
54
1
0
09 Oct 2024
E(n) Equivariant Topological Neural Networks
E(n) Equivariant Topological Neural Networks
Claudio Battiloro
Ege Karaismailoglu
Mauricio Tec
George Dasoulas
Michelle Audirac
Francesca Dominici
55
5
0
24 May 2024
Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and
  Attention Mechanism Approach for Heterogeneous Graph-Structured Data
Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data
Jinghan Huang
Qiufeng Chen
Yijun Bian
Pengli Zhu
Nanguang Chen
Moo K. Chung
Anqi Qiu
40
0
0
11 Mar 2024
Position: Topological Deep Learning is the New Frontier for Relational
  Learning
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
62
26
0
14 Feb 2024
Hypergraph-MLP: Learning on Hypergraphs without Message Passing
Hypergraph-MLP: Learning on Hypergraphs without Message Passing
Bohan Tang
Siheng Chen
Xiaowen Dong
26
5
0
15 Dec 2023
Gaussian Processes on Cellular Complexes
Gaussian Processes on Cellular Complexes
Mathieu Alain
So Takao
Brooks Paige
M. Deisenroth
19
12
0
02 Nov 2023
Tangent Bundle Convolutional Learning: from Manifolds to Cellular
  Sheaves and Back
Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back
Claudio Battiloro
Zhiyang Wang
Hans Riess
P. Di Lorenzo
Alejandro Ribeiro
33
9
0
20 Mar 2023
SGAT: Simplicial Graph Attention Network
SGAT: Simplicial Graph Attention Network
See Hian Lee
Feng Ji
Wee Peng Tay
69
23
0
24 Jul 2022
Simplicial Convolutional Neural Networks
Simplicial Convolutional Neural Networks
Maosheng Yang
Elvin Isufi
G. Leus
GNN
65
57
0
06 Oct 2021
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and
  Beyond
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond
Michael T. Schaub
Yu Zhu
Jean-Baptiste Seby
T. Roddenberry
Santiago Segarra
126
145
0
14 Jan 2021
Convolutional Neural Network Architectures for Signals Supported on
  Graphs
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama
A. Marques
G. Leus
Alejandro Ribeiro
132
285
0
01 May 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,239
0
24 Nov 2016
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