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Graph Classification Gaussian Processes via Hodgelet Spectral Features
v1v2v3v4 (latest)

Graph Classification Gaussian Processes via Hodgelet Spectral Features

14 October 2024
Mathieu Alain
So Takao
Xiaowen Dong
Bastian Rieck
Emmanuel Noutahi
ArXiv (abs)PDFHTML

Papers citing "Graph Classification Gaussian Processes via Hodgelet Spectral Features"

15 / 15 papers shown
Title
MANTRA: The Manifold Triangulations Assemblage
MANTRA: The Manifold Triangulations Assemblage
Rubén Ballester
Ernst Röell
Daniel Bin Schmid
Mathieu Alain
Sergio Escalera
Carles Casacuberta
Bastian Rieck
149
6
0
03 Oct 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
93
35
0
14 Feb 2024
Gaussian Processes on Cellular Complexes
Gaussian Processes on Cellular Complexes
Mathieu Alain
So Takao
Brooks Paige
M. Deisenroth
79
13
0
02 Nov 2023
Hodge-Compositional Edge Gaussian Processes
Hodge-Compositional Edge Gaussian Processes
Maosheng Yang
Viacheslav Borovitskiy
Elvin Isufi
73
10
0
30 Oct 2023
Generalized Simplicial Attention Neural Networks
Generalized Simplicial Attention Neural Networks
Claudio Battiloro
Lucia Testa
Lorenzo Giusti
S. Sardellitti
P. Lorenzo
Sergio Barbarossa
84
22
0
05 Sep 2023
Graph neural networks for materials science and chemistry
Graph neural networks for materials science and chemistry
Patrick Reiser
Marlen Neubert
André Eberhard
Luca Torresi
Chen Zhou
...
Houssam Metni
Clint van Hoesel
Henrik Schopmans
T. Sommer
Pascal Friederich
GNNAI4CE
122
409
0
05 Aug 2022
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
192
149
0
14 Jan 2021
Graph Kernels: State-of-the-Art and Future Challenges
Graph Kernels: State-of-the-Art and Future Challenges
Karsten Borgwardt
Elisabetta Ghisu
Felipe Llinares-López
Leslie O’Bray
Bastian Rieck
AI4TS
86
106
0
07 Nov 2020
Graph-based Semi-Supervised & Active Learning for Edge Flows
Graph-based Semi-Supervised & Active Learning for Edge Flows
Junteng Jia
Michael T. Schaub
Santiago Segarra
Austin R. Benson
110
77
0
17 May 2019
Hypergraph Neural Networks
Hypergraph Neural Networks
Yifan Feng
Haoxuan You
Zizhao Zhang
Rongrong Ji
Yue Gao
GNN
90
1,392
0
25 Sep 2018
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
371
7,680
0
30 Jun 2016
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
240
4,884
0
21 Dec 2013
Gaussian Processes for Big Data
Gaussian Processes for Big Data
J. Hensman
Nicolò Fusi
Neil D. Lawrence
GP
113
1,236
0
26 Sep 2013
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
140
3,988
0
31 Oct 2012
Statistical ranking and combinatorial Hodge theory
Statistical ranking and combinatorial Hodge theory
Xiaoye Jiang
Lek-Heng Lim
Yuan Yao
Yinyu Ye
123
372
0
07 Nov 2008
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