Papers citing 'On Graph Classification Networks, Datasets and Baselines'

Title
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification Jakub Adamczyk Wojciech Czech 231 5 0 16 Jul 2024
Expander Graph PropagationLOG IN (LOG IN), 2022 Andreea Deac Marc Lackenby Petar Velivcković 295 68 0 06 Oct 2022
GraphWorld: Fake Graphs Bring Real Insights for GNNsKnowledge Discovery and Data Mining (KDD), 2022 John Palowitch Anton Tsitsulin Brandon Mayer Bryan Perozzi GNN 546 80 0 28 Feb 2022
Graph Kernel Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Luca Cosmo G. Minello Alessandro Bicciato M. Bronstein Emanuele Rodolà Luca Rossi A. Torsello GNN 172 25 0 14 Dec 2021
Graph Neural Networks with Parallel Neighborhood Aggregations for Graph ClassificationIEEE Transactions on Signal Processing (IEEE TSP), 2021 Siddhant Doshi S. Chepuri GNN 199 7 0 22 Nov 2021
Sparsifying the Update Step in Graph Neural Networks J. Lutzeyer Changmin Wu Michalis Vazirgiannis 161 4 0 02 Sep 2021
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked TransformersInternational Conference on Machine Learning (ICML), 2021 K. Choromanski Han Lin Haoxian Chen Tianyi Zhang Arijit Sehanobish Valerii Likhosherstov Jack Parker-Holder Tamás Sarlós Adrian Weller Thomas Weingarten 371 44 0 16 Jul 2021
Lymph Node Graph Neural Networks for Cancer Metastasis Prediction M. Kazmierski B. Haibe-Kains 108 7 0 03 Jun 2021
Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode RegularizationExpert systems with applications (ESWA), 2020 T. Do Duc Minh Nguyen Giannis Bekoulis Adrian Munteanu Nikos Deligiannis 185 45 0 28 Aug 2020
Learning distributed representations of graphs with Geo2DR P. Scherer Pietro Lio GNN 87 4 0 12 Mar 2020
Benchmarking Graph Neural NetworksJournal of machine learning research (JMLR), 2023 Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 1.2K 1,082 0 02 Mar 2020
An End-to-End Graph Convolutional Kernel Support Vector MachineApplied Network Science (Appl Netw Sci), 2020 P. Corcoran 117 6 0 29 Feb 2020
Deep Graph Mapper: Seeing Graphs through the Neural LensFrontiers in Big Data (Front. Big Data), 2020 Cristian Bodnar Cătălina Cangea Pietro Lio 294 43 0 10 Feb 2020
Supervised Learning on Relational Databases with Graph Neural Networks Milan Cvitkovic 120 52 0 06 Feb 2020
A Fair Comparison of Graph Neural Networks for Graph ClassificationInternational Conference on Learning Representations (ICLR), 2019 Federico Errica Marco Podda D. Bacciu Alessio Micheli FaML 363 488 0 20 Dec 2019
Function Space Pooling For Graph Convolutional NetworksInternational Cross-Domain Conference on Machine Learning and Knowledge Extraction (CD-MAKE), 2019 P. Corcoran GNN 253 3 0 15 May 2019

231

5

0

16 Jul 2024

Expander Graph PropagationLOG IN (LOG IN), 2022

Andreea Deac

Marc Lackenby

Petar Velivcković

295

68

0

06 Oct 2022

GraphWorld: Fake Graphs Bring Real Insights for GNNsKnowledge Discovery and Data Mining (KDD), 2022

546

80

0

28 Feb 2022

Graph Kernel Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021

172

25

0

14 Dec 2021

Graph Neural Networks with Parallel Neighborhood Aggregations for Graph ClassificationIEEE Transactions on Signal Processing (IEEE TSP), 2021

Siddhant Doshi

S. Chepuri

GNN

199

7

0

22 Nov 2021

Sparsifying the Update Step in Graph Neural Networks

J. Lutzeyer

Changmin Wu

Michalis Vazirgiannis

161

4

0

02 Sep 2021

From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked TransformersInternational Conference on Machine Learning (ICML), 2021

Haoxian Chen

Valerii Likhosherstov

371

44

0

16 Jul 2021

Lymph Node Graph Neural Networks for Cancer Metastasis Prediction

M. Kazmierski

B. Haibe-Kains

108

7

0

03 Jun 2021

Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode RegularizationExpert systems with applications (ESWA), 2020

T. Do

Duc Minh Nguyen

Giannis Bekoulis

Adrian Munteanu

Nikos Deligiannis

185

45

0

28 Aug 2020

Learning distributed representations of graphs with Geo2DR

P. Scherer

Pietro Lio

GNN

87

4

0

12 Mar 2020

Benchmarking Graph Neural NetworksJournal of machine learning research (JMLR), 2023

Vijay Prakash Dwivedi

1.2K

1,082

0

02 Mar 2020

An End-to-End Graph Convolutional Kernel Support Vector MachineApplied Network Science (Appl Netw Sci), 2020

P. Corcoran

117

6

0

29 Feb 2020

Deep Graph Mapper: Seeing Graphs through the Neural LensFrontiers in Big Data (Front. Big Data), 2020

Cristian Bodnar

Cătălina Cangea

Pietro Lio

294

43

0

10 Feb 2020

Supervised Learning on Relational Databases with Graph Neural Networks

Milan Cvitkovic

120

52

0

06 Feb 2020

A Fair Comparison of Graph Neural Networks for Graph ClassificationInternational Conference on Learning Representations (ICLR), 2019

363

488

0

20 Dec 2019

Function Space Pooling For Graph Convolutional NetworksInternational Cross-Domain Conference on Machine Learning and Knowledge Extraction (CD-MAKE), 2019

P. Corcoran

GNN

253

3

0

15 May 2019

All Papers

On Graph Classification Networks, Datasets and Baselines

Papers citing "On Graph Classification Networks, Datasets and Baselines"

On Graph Classification Networks, Datasets and Baselines

Papers citing "On Graph Classification Networks, Datasets and Baselines"