Open Access Helper

OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Deep Graph Mapper: Seeing Graphs Through the Neural Lens
Cristian Bodnar, Cătălina Cangea, Píetro Lió
Frontiers in Big Data (2021) Vol. 4
Open Access | Times Cited: 21

Showing 21 citing articles:

Utilizing graph machine learning within drug discovery and development
Thomas Gaudelet, Ben Day, Arian R. Jamasb, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 185
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Chuang Liu, Yibing Zhan, Jia Wu, et al.
(2023), pp. 6712-6722
Open Access | Times Cited: 46
Understanding Pooling in Graph Neural Networks
Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 2, pp. 2708-2718
Open Access | Times Cited: 60
Graph Representation Forecasting of Patient's Medical Conditions: Toward a Digital Twin
Pietro Barbiero, Ramón Viñas, Píetro Lió
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 49
Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks
Joshua Levy, Christian C. Haudenschild, Clark Barwick, et al.
Biocomputing (2020)
Open Access | Times Cited: 36
ZigzagNetVis: Suggesting temporal resolutions for graph visualization using zigzag persistence
Raphaël Tinarrage, Jean R. Ponciano, Cláudio D. G. Linhares, et al.
IEEE Transactions on Visualization and Computer Graphics (2025), pp. 1-18
Open Access
Subgraph mining in a large graph: A review
Lam B. Q. Nguyen, Ivan Zelinka, Václav Snåšel, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 4
Closed Access | Times Cited: 18
NeuMapper: A scalable computational framework for multiscale exploration of the brain’s dynamical organization
Caleb Geniesse, Samir Chowdhury, Manish Saggar
Network Neuroscience (2022), pp. 1-32
Open Access | Times Cited: 17
MethylSPWNet and MethylCapsNet: Biologically Motivated Organization of DNAm Neural Networks, Inspired by Capsule Networks
Joshua Levy, Youdinghuan Chen, Nasim Azizgolshani, et al.
npj Systems Biology and Applications (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 17
Saliency-aware regularized graph neural network
Wenjie Pei, WeiNa Xu, Zongze Wu, et al.
Artificial Intelligence (2024) Vol. 328, pp. 104078-104078
Open Access | Times Cited: 2
Topological Pooling on Graphs
Yuzhou Chen, Yulia R. Gel
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 7096-7103
Open Access | Times Cited: 6
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
Lucie Charlotte Magister, Dmitry Kazhdan, Vikash Singh, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 13
Graph isomorphism U-Net
Alireza Amouzad, Zahra Dehghanian, Saeed Saravani, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121280-121280
Closed Access | Times Cited: 5
A Method for Closed Frequent Subgraph Mining in a Single Large Graph
Lam B. Q. Nguyen, Loan T. T. Nguyen, Ivan Zelinka, et al.
IEEE Access (2021) Vol. 9, pp. 165719-165733
Open Access | Times Cited: 12
Motion states identification of underwater glider based on complex networks and graph convolutional networks
Wei Guo, Xinlin Sun, Dongmei Lv, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 2
Open Access | Times Cited: 1
Graph pooling in graph neural networks: methods and their applications in omics studies
Yan Wang, Wenju Hou, Nan Sheng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 1
Predicting protein complexes in protein interaction networks using Mapper and Graph Convolution Networks
Leonardo Daou, Eileen Marie Hanna
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 3595-3609
Open Access | Times Cited: 1
Graph representation forecasting of patient’s medical conditions: towards a digital twin
Pietro Barbiero, Ramón Viñas, Píetro Lió
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 5
Efficient Computations of Interesting Paths
Marc Raphael Vicuna
(2024)
Open Access
Simplicity within biological complexity
Nataša Pržulj, Noël Malod‐Dognin
Bioinformatics Advances (2024) Vol. 5, Iss. 1
Open Access
Homology-Preserving Multi-Scale Graph Skeletonization Using Mapper on Graphs
Paul Rosen, Mustafa Hajij, Bei Wang
(2023) Vol. 19, pp. 10-20
Open Access | Times Cited: 1
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