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Deep Graph Mapper: Seeing Graphs through the Neural Lens
v1v2 (latest)

Deep Graph Mapper: Seeing Graphs through the Neural Lens

Frontiers in Big Data (Front. Big Data), 2020
10 February 2020
Cristian Bodnar
Cătălina Cangea
Pietro Lio
ArXiv (abs)PDFHTML

Papers citing "Deep Graph Mapper: Seeing Graphs through the Neural Lens"

21 / 21 papers shown
A Mapper Algorithm with implicit intervals and its optimization
A Mapper Algorithm with implicit intervals and its optimization
Yuyang Tao
Shufei Ge
381
0
0
16 Dec 2024
MANTRA: The Manifold Triangulations Assemblage
MANTRA: The Manifold Triangulations AssemblageInternational Conference on Learning Representations (ICLR), 2024
Rubén Ballester
Ernst Röell
Daniel Bin Schmid
Mathieu Alain
Sergio Escalera
Carles Casacuberta
Bastian Rieck
562
8
0
03 Oct 2024
TopER: Topological Embeddings in Graph Representation Learning
TopER: Topological Embeddings in Graph Representation Learning
Astrit Tola
Funmilola Mary Taiwo
Cüneyt Gürcan Akçora
Baris Coskunuzer
322
0
0
02 Oct 2024
Spatio-Spectral Graph Neural Networks
Spatio-Spectral Graph Neural Networks
Simon Geisler
Arthur Kosmala
Daniel Herbst
Stephan Günnemann
432
21
0
29 May 2024
Simplicity within biological complexity
Simplicity within biological complexityBioinformatics Advances (BA), 2024
Nataša Pržulj
N. Malod-Dognin
296
3
0
15 May 2024
Tensor-view Topological Graph Neural Network
Tensor-view Topological Graph Neural NetworkInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Tao Wen
Elynn Chen
Yuzhou Chen
557
21
0
22 Jan 2024
Saliency-Aware Regularized Graph Neural Network
Saliency-Aware Regularized Graph Neural NetworkArtificial Intelligence (AI), 2024
Wenjie Pei
Weina Xu
Zongze Wu
Weichao Li
Jinfan Wang
Guangming Lu
Xiangrong Wang
191
13
0
01 Jan 2024
NervePool: A Simplicial Pooling Layer
NervePool: A Simplicial Pooling Layer
Sarah McGuire
Ernst Röell
E. Munch
Bastian Rieck
M. Hirn
348
1
0
10 May 2023
Topological Pooling on Graphs
Topological Pooling on GraphsAAAI Conference on Artificial Intelligence (AAAI), 2023
Yuzhou Chen
Yulia R. Gel
317
20
0
25 Mar 2023
Topological structure of complex predictions
Topological structure of complex predictions
Meng Liu
T. Dey
D. Gleich
342
9
0
28 Jul 2022
Taxonomy of Benchmarks in Graph Representation Learning
Taxonomy of Benchmarks in Graph Representation LearningLOG IN (LOG IN), 2022
Renming Liu
Semih Cantürk
Frederik Wenkel
Sarah McGuire
Devin Kreuzer
...
Michael Perlmutter
Bastian Rieck
M. Hirn
Guy Wolf
Ladislav Rampášek
OOD
312
16
0
15 Jun 2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and
  Opportunities
Graph Pooling for Graph Neural Networks: Progress, Challenges, and OpportunitiesInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Chuang Liu
Yibing Zhan
Hongzhi Zhang
Chang Li
Bo Du
Wenbin Hu
Tongliang Liu
Dacheng Tao
GNNAI4CE
277
121
0
15 Apr 2022
Graph Convolutional Networks for Multi-modality Medical Imaging:
  Methods, Architectures, and Clinical Applications
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications
Kexin Ding
Mu Zhou
Zichen Wang
Qiao Liu
C. Arnold
Shaoting Zhang
Dimitris N. Metaxas
GNNMedImAI4CE
289
18
0
17 Feb 2022
Understanding Pooling in Graph Neural Networks
Understanding Pooling in Graph Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Daniele Grattarola
Daniele Zambon
F. Bianchi
Cesare Alippi
GNNFAttAI4CE
654
134
0
11 Oct 2021
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph
  Neural Networks
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
Lucie Charlotte Magister
Dmitry Kazhdan
Vikash Singh
Pietro Lio
331
52
0
25 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology
A Survey on Graph-Based Deep Learning for Computational Histopathology
David Ahmedt-Aristizabal
M. Armin
Akila Pemasiri
Clinton Fookes
L. Petersson
GNNAI4CE
350
141
0
01 Jul 2021
Simplicial Complex Representation Learning
Simplicial Complex Representation Learning
Pavlo Vasylenko
Ghada Zamzmi
Theodore Papamarkou
Vasileios Maroulas
X. Cai
662
23
0
06 Mar 2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial
  Networks
Weisfeiler and Lehman Go Topological: Message Passing Simplicial NetworksInternational Conference on Machine Learning (ICML), 2021
Cristian Bodnar
Fabrizio Frasca
Yu Guang Wang
N. Otter
Guido Montúfar
Pietro Lio
M. Bronstein
434
309
0
04 Mar 2021
Utilising Graph Machine Learning within Drug Discovery and Development
Utilising Graph Machine Learning within Drug Discovery and Development
Thomas Gaudelet
Ben Day
Arian R. Jamasb
Jyothish Soman
Cristian Regep
...
Jian Tang
D. Roblin
Tom L. Blundell
M. Bronstein
J. Taylor-King
AI4CE
375
40
0
09 Dec 2020
Graph representation forecasting of patient's medical conditions:
  towards a digital twin
Graph representation forecasting of patient's medical conditions: towards a digital twinmedRxiv (medRxiv), 2020
Pietro Barbiero
Ramon Vinas Torné
Pietro Lio
AI4CE
279
12
0
17 Sep 2020
Homology-Preserving Multi-Scale Graph Skeletonization Using Mapper on
  Graphs
Homology-Preserving Multi-Scale Graph Skeletonization Using Mapper on Graphs
Paul Rosen
Pavlo Vasylenko
Bei Wang
458
9
0
03 Apr 2018
1
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