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Position: Topological Deep Learning is the New Frontier for Relational
  Learning

Position: Topological Deep Learning is the New Frontier for Relational Learning

14 February 2024
Theodore Papamarkou
Tolga Birdal
Michael M. Bronstein
Gunnar Carlsson
Justin Curry
Yue Gao
Mustafa Hajij
Roland Kwitt
Pietro Lio
P. Lorenzo
Vasileios Maroulas
Nina Miolane
Farzana Nasrin
K. Ramamurthy
Bastian Alexander Rieck
Simone Scardapane
Michael T. Schaub
Petar Velickovic
Bei Wang
Yusu Wang
Guo-Wei Wei
Ghada Zamzmi
    AI4CE
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Papers citing "Position: Topological Deep Learning is the New Frontier for Relational Learning"

16 / 16 papers shown
Title
A Relative Homology Theory of Representation in Neural Networks
A Relative Homology Theory of Representation in Neural Networks
Kosio Beshkov
89
0
0
17 Feb 2025
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
Yiming Huang
Tolga Birdal
DiffM
70
0
0
06 Feb 2025
Towards Scalable Topological Regularizers
Towards Scalable Topological Regularizers
Hiu-Tung Wong
Darrick Lee
Hong Yan
BDL
46
0
0
24 Jan 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
146
2
0
17 Jan 2025
CAT-Walk: Inductive Hypergraph Learning via Set Walks
CAT-Walk: Inductive Hypergraph Learning via Set Walks
Ali Behrouz
Farnoosh Hashemi
Sadaf Sadeghian
Margo Seltzer
24
16
0
19 Jun 2023
Euler Characteristic Transform Based Topological Loss for Reconstructing
  3D Images from Single 2D Slices
Euler Characteristic Transform Based Topological Loss for Reconstructing 3D Images from Single 2D Slices
K. Nadimpalli
A. Chattopadhyay
Bastian Alexander Rieck
31
8
0
08 Mar 2023
Diffusion Models for Graphs Benefit From Discrete State Spaces
Diffusion Models for Graphs Benefit From Discrete State Spaces
K. Haefeli
Karolis Martinkus
Nathanael Perraudin
Roger Wattenhofer
DiffM
66
36
0
04 Oct 2022
Topological Singularity Detection at Multiple Scales
Topological Singularity Detection at Multiple Scales
Julius von Rohrscheidt
Bastian Alexander Rieck
32
7
0
30 Sep 2022
Cell Attention Networks
Cell Attention Networks
Lorenzo Giusti
Claudio Battiloro
Lucia Testa
P. Lorenzo
S. Sardellitti
Sergio Barbarossa
3DPC
GNN
95
32
0
16 Sep 2022
Message passing all the way up
Message passing all the way up
Petar Velickovic
103
63
0
22 Feb 2022
Data-Centric AI Requires Rethinking Data Notion
Data-Centric AI Requires Rethinking Data Notion
Mustafa Hajij
Ghada Zamzmi
K. Ramamurthy
Aldo Guzmán-Sáenz
33
16
0
06 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
161
1,095
0
27 Apr 2021
What are higher-order networks?
What are higher-order networks?
C. Bick
Elizabeth Gross
Heather A. Harrington
Michael T. Schaub
103
273
0
20 Apr 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Ana Lucic
Maartje ter Hoeve
Gabriele Tolomei
Maarten de Rijke
Fabrizio Silvestri
99
87
0
05 Feb 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
113
117
0
14 Jan 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
210
13,886
0
02 Dec 2016
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