Search results for "hyperparameters"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
84	Rafael Molina 0001	On the Hierarchical Bayesian Approach to Image Restoration: Applications to Astronomical Images.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	hierarchical Bayesian approach, astronomical images, local characteristics, hyperprior, hyperparameters estimation, noise, image restoration, image restoration, maximum likelihood estimation, Bayes methods, image models, astronomy
72	Masayuki Karasuyama, Daisuke Kitakoshi, Ryohei Nakano	Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error.	IJCNN	2006	DBLP DOI BibTeX RDF
59	G. Haranadh, C. Chandra Sekhar	Hyperparameters of Gaussian process as features for trajectory classification.	IJCNN	2008	DBLP DOI BibTeX RDF
59	Javier Acevedo, Saturnino Maldonado-Bascón, Philip Siegmann, Sergio Lafuente-Arroyo, Pedro Gil-Jiménez	Tuning L1-SVM Hyperparameters with Modified Radius Margin Bounds and Simulated Annealing.	IWANN	2007	DBLP DOI BibTeX RDF
45	Masayuki Karasuyama, Ryohei Nakano	Optimizing Sparse Kernel Ridge Regression hyperparameters based on leave-one-out cross-validation.	IJCNN	2008	DBLP DOI BibTeX RDF
45	Masayuki Karasuyama, Ryohei Nakano	Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR.	IJCNN	2007	DBLP DOI BibTeX RDF
43	Lei Xie 0007	Swarm Intelligent Tuning of One-Class nu-SVM Parameters.	RSKT	2006	DBLP DOI BibTeX RDF	?-SVM, radical basis function, hyperparameters tuning, particle swarm optimization, Swarm intelligence
43	Nuno Vasconcelos, Andrew Lippman	Empirical Bayesian Motion Segmentation.	IEEE Trans. Pattern Anal. Mach. Intell.	2001	DBLP DOI BibTeX RDF	empirical Bayesian procedures, estimation of hyperparameters, expectation-maximization, Motion segmentation, statistical learning, layered representations
41	Liang Zhou, Fuxin Li, Yanwu Yang	Path Algorithms for One-Class SVM.	ISNN (1)	2008	DBLP DOI BibTeX RDF	Path algorithm, Regularization, Kernel, One-Class SVM
41	Takashi Isozaki, Noriji Kato, Maomi Ueno	Minimum Free Energies with "Data Temperature" for Parameter Learning of Bayesian Networks.	ICTAI (1)	2008	DBLP DOI BibTeX RDF
41	Tomohiro Hachino, Visakan Kadirkamanathan	Time Series Forecasting Using Multiple Gaussian Process Prior Model.	CIDM	2007	DBLP DOI BibTeX RDF
41	Hyun-Chul Kim, Zoubin Ghahramani	Bayesian Gaussian Process Classification with the EM-EP Algorithm.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	Gaussian process classification, expectation propagation, EM-EP algorithm, kernel methods, Bayesian methods
41	Rafael Molina 0001, Javier Mateos, Aggelos K. Katsaggelos	Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation.	IEEE Trans. Image Process.	2006	DBLP DOI BibTeX RDF
41	Sambu Seo, Klaus Obermayer	Dynamic Hyperparameter Scaling Method for LVQ Algorithms.	IJCNN	2006	DBLP DOI BibTeX RDF
41	Mathias M. Adankon, Mohamed Cheriet	New Formulation of SVM for Model Selection.	IJCNN	2006	DBLP DOI BibTeX RDF
41	Peter Sollich	Can Gaussian Process Regression Be Made Robust Against Model Mismatch?	Deterministic and Statistical Methods in Machine Learning	2004	DBLP DOI BibTeX RDF
41	Joaquin Quiñonero Candela, Carl Edward Rasmussen	Analysis of Some Methods for Reduced Rank Gaussian Process Regression.	European Summer School on Multi-AgentControl	2003	DBLP DOI BibTeX RDF
31	Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tannús	On the asymptotic variances of Gaussian Markov Random Field model hyperparameters in stochastic image modeling.	ICPR	2008	DBLP DOI BibTeX RDF
31	Tanasanee Phienthrakul, Boonserm Kijsirikul	Evolving Hyperparameters of Support Vector Machines Based on Multi-Scale RBF Kernels.	Intelligent Information Processing	2006	DBLP DOI BibTeX RDF	Support Vector Machines, Radial Basis Function, Kernel Methods, Evolutionary Strategies
29	John Moses, Malcolm Farrow	A Procedure for Assessing the Influence of Problem Domain on Effort Estimation Consistency.	Softw. Qual. J.	2003	DBLP DOI BibTeX RDF	Hierarchical Bayesian inference, hyperparameters, interactions with random effects, model fit and checking, deviance statistic, informative and non-informative priors, dependence, effort estimates, COCOMO, linear regression models
27	Shihao Ji, David B. Dunson, Lawrence Carin	Multitask Compressive Sensing.	IEEE Trans. Signal Process.	2009	DBLP DOI BibTeX RDF
27	S. Derin Babacan, Rafael Molina 0001, Aggelos K. Katsaggelos	Variational Bayesian Blind Deconvolution Using a Total Variation Prior.	IEEE Trans. Image Process.	2009	DBLP DOI BibTeX RDF
27	Roman Garnett, Michael A. Osborne, Stephen J. Roberts	Sequential Bayesian prediction in the presence of changepoints.	ICML	2009	DBLP DOI BibTeX RDF
27	S. Derin Babacan, Rafael Molina 0001, Aggelos K. Katsaggelos	Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation.	IEEE Trans. Image Process.	2008	DBLP DOI BibTeX RDF
27	Gilles Lebrun, Olivier Lezoray, Christophe Charrier, Hubert Cardot	An EA Multi-model Selection for SVM Multiclass Schemes.	IWANN	2007	DBLP DOI BibTeX RDF
27	Masashi Sekino, Katsumi Nitta	Unbiased Learning for Hierarchical Models.	IJCNN	2007	DBLP DOI BibTeX RDF
27	Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique Sucar	PSMS for Neural Networks on the IJCNN 2007 Agnostic vs Prior Knowledge Challenge.	IJCNN	2007	DBLP DOI BibTeX RDF
27	Yu Fu 0001, Antony Browne	Using Ensembles of Neural Networks to Improve Automatic Relevance Determination.	IJCNN	2007	DBLP DOI BibTeX RDF
27	Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo Calvo, Renato Porfirio Ishii	Multiclass SVM Model Selection Using Particle Swarm Optimization.	HIS	2006	DBLP DOI BibTeX RDF
27	Desikachari Nadadur, Robert M. Haralick, David E. Gustafson	A Bayesian framework for noise covariance estimation using the facet model.	IEEE Trans. Image Process.	2005	DBLP DOI BibTeX RDF
27	Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen	LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator.	ICANN (2)	2005	DBLP DOI BibTeX RDF	Regression, Least Squares Support Vector Machines, Leave-one-out, Noise Estimation
27	Zhuo Gao, K. Y. Michael Wong	Smooth Performance Landscapes of the Variational Bayesian Approach.	ICANN (2)	2005	DBLP DOI BibTeX RDF
27	Gilles Cohen, Melanie Hilario, Antoine Geissbühler	Model Selection for Support Vector Classifiers via Genetic Algorithms. An Application to Medical Decision Support.	ISBMDA	2004	DBLP DOI BibTeX RDF
27	Jen-Tzung Chien	Linear regression based Bayesian predictive classification for speech recognition.	IEEE Trans. Speech Audio Process.	2003	DBLP DOI BibTeX RDF
27	Nikolaos Nasios, Adrian G. Bors	Blind Source Separation USing Variational Expectation-Maximization Algorithm.	CAIP	2003	DBLP DOI BibTeX RDF
27	Rafael Molina 0001, Aggelos K. Katsaggelos, Javier Mateos	Bayesian and regularization methods for hyperparameter estimation in image restoration.	IEEE Trans. Image Process.	1999	DBLP DOI BibTeX RDF
18	Frank Kulwa, Haoshi Zhang, Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Erik J. Scheme, Rami N. Khushaba, Alistair A. McEwan, Guanglin Li 0001	A Multidataset Characterization of Window-Based Hyperparameters for Deep CNN-Driven sEMG Pattern Recognition.	IEEE Trans. Hum. Mach. Syst.	2024	DBLP DOI BibTeX RDF
18	Mustafa Açikkar	Fast grid search: A grid search-inspired algorithm for optimizing hyperparameters of support vector regression.	Turkish J. Electr. Eng. Comput. Sci.	2024	DBLP DOI BibTeX RDF
18	H. K. Ravikiran, J. Jayanth, M. S. Sathisha, K. Bindu	Optimizing Sheep Breed Classification with Bat Algorithm-Tuned CNN Hyperparameters.	SN Comput. Sci.	2024	DBLP DOI BibTeX RDF
18	Md. Mostafizer Rahman, Yutaka Watanobe	Multilingual Program Code Classification Using $n$-Layered Bi-LSTM Model With Optimized Hyperparameters.	IEEE Trans. Emerg. Top. Comput. Intell.	2024	DBLP DOI BibTeX RDF
18	Sandeep Dasari, Rajesh Kaluri	An Effective Classification of DDoS Attacks in a Distributed Network by Adopting Hierarchical Machine Learning and Hyperparameters Optimization Techniques.	IEEE Access	2024	DBLP DOI BibTeX RDF
18	Mohammed Tayebi, Said El Kafhali	Performance analysis of metaheuristics based hyperparameters optimization for fraud transactions detection.	Evol. Intell.	2024	DBLP DOI BibTeX RDF
18	Mehmet Akif Bülbül	Optimization of artificial neural network structure and hyperparameters in hybrid model by genetic algorithm: iOS-android application for breast cancer diagnosis/prediction.	J. Supercomput.	2024	DBLP DOI BibTeX RDF
18	Zhenyao Liu, Wei-Chang Yeh	Simplified swarm optimisation for CNN hyperparameters: a sound classification approach.	Int. J. Web Grid Serv.	2024	DBLP DOI BibTeX RDF
18	Caroline Choi, Yoonho Lee 0001, Annie S. Chen, Allan Zhou, Aditi Raghunathan, Chelsea Finn	AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data.	CoRR	2024	DBLP DOI BibTeX RDF
18	Abdelaziz Bensadok, Muhammad Zeeshan Babar	Fuzzy hyperparameters update in a second order optimization.	CoRR	2024	DBLP DOI BibTeX RDF
18	Sabrina Herbst, Vincenzo De Maio, Ivona Brandic	On Optimizing Hyperparameters for Quantum Neural Networks.	CoRR	2024	DBLP DOI BibTeX RDF
18	Sungmin Cha, Kyunghyun Cho	Hyperparameters in Continual Learning: a Reality Check.	CoRR	2024	DBLP DOI BibTeX RDF
18	Nefeli Gkouti, Prodromos Malakasiotis, Stavros Toumpis, Ion Androutsopoulos	Should I try multiple optimizers when fine-tuning pre-trained Transformers for NLP tasks? Should I tune their hyperparameters?	CoRR	2024	DBLP DOI BibTeX RDF
18	Juliusz Ziomek, Masaki Adachi, Michael A. Osborne	Beyond Lengthscales: No-regret Bayesian Optimisation With Unknown Hyperparameters Of Any Type.	CoRR	2024	DBLP DOI BibTeX RDF
18	Bernard Vau, Tudor-Bogdan Airimitoaie	Recursive identification with regularization and on-line hyperparameters estimation.	CoRR	2024	DBLP DOI BibTeX RDF
18	Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin	Principled Architecture-aware Scaling of Hyperparameters.	CoRR	2024	DBLP DOI BibTeX RDF
18	Natalija Mitic, Apostolos Pyrgelis, Sinem Sav	How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study.	CoRR	2024	DBLP DOI BibTeX RDF
18	Hideaki Iiduka	Theoretical analysis of Adam using hyperparameters close to one without Lipschitz smoothness.	Numer. Algorithms	2024	DBLP DOI BibTeX RDF
18	Sungyong Baik, Myungsub Choi, Janghoon Choi, Heewon Kim, Kyoung Mu Lee	Learning to Learn Task-Adaptive Hyperparameters for Few-Shot Learning.	IEEE Trans. Pattern Anal. Mach. Intell.	2024	DBLP DOI BibTeX RDF
18	Khadija Aguerchi, Younes Jabrane, Maryam Habba, Amir Hajjam El Hassani	A CNN Hyperparameters Optimization Based on Particle Swarm Optimization for Mammography Breast Cancer Classification.	J. Imaging	2024	DBLP DOI BibTeX RDF
18	Nefeli Gkouti, Prodromos Malakasiotis, Stavros Toumpis, Ion Androutsopoulos	Should I try multiple optimizers when fine-tuning a pre-trained Transformer for NLP tasks? Should I tune their hyperparameters?	EACL (1)	2024	DBLP BibTeX RDF
18	Mingzhou Yin, Roy S. Smith	Error Bounds for Kernel-Based Linear System Identification With Unknown Hyperparameters.	IEEE Control. Syst. Lett.	2023	DBLP DOI BibTeX RDF
18	Alessandro Sebastianelli, Maria Pia del Rosso, Silvia Liberata Ullo, Paolo Gamba	On Quantum Hyperparameters Selection in Hybrid Classifiers for Earth Observation Data.	IEEE Geosci. Remote. Sens. Lett.	2023	DBLP DOI BibTeX RDF
18	Saghir Ahmed, Basit Raza, Lal Hussain, Amjad Aldweesh, Abdulfattah Omar, Mohammad Shahbaz Khan, Elsayed Tag-Eldin, Muhammad Amin Nadim	The Deep Learning ResNet101 and Ensemble XGBoost Algorithm with Hyperparameters Optimization Accurately Predict the Lung Cancer.	Appl. Artif. Intell.	2023	DBLP DOI BibTeX RDF
18	Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang	Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD.	ACM Trans. Knowl. Discov. Data	2023	DBLP DOI BibTeX RDF
18	Saurabh Shrivastava, Sanyam Shukla, Nilay Khare	A stable variant of linex loss SVM for handling noise with reduced hyperparameters.	Inf. Sci.	2023	DBLP DOI BibTeX RDF
18	You-Gan Wang, Jinran Wu, Zhi-Hua Hu, Geoffrey J. McLachlan	A new algorithm for support vector regression with automatic selection of hyperparameters.	Pattern Recognit.	2023	DBLP DOI BibTeX RDF
18	Ying Deng, Xinliang Hu, Da Teng, Bing Li 0001, Congxuan Zhang, Weiming Hu	Dynamic adjustment of hyperparameters for anchor-based detection of objects with large image size differences.	Pattern Recognit. Lett.	2023	DBLP DOI BibTeX RDF
18	Samia Mezzah, Abdelmalek Tari	Practical hyperparameters tuning of convolutional neural networks for EEG emotional features classification.	Intell. Syst. Appl.	2023	DBLP DOI BibTeX RDF
18	Di Wu 0002, Qinghua Guan, Zhe Fan, Hanhui Deng, Tao Wu 0005	AutoML With Parallel Genetic Algorithm for Fast Hyperparameters Optimization in Efficient IoT Time Series Prediction.	IEEE Trans. Ind. Informatics	2023	DBLP DOI BibTeX RDF
18	Hafsa Bousbiat, Anthony Faustine, Christoph Klemenjak, Lucas Pereira, Wilfried Elmenreich	Unlocking the Full Potential of Neural NILM: On Automation, Hyperparameters, and Modular Pipelines.	IEEE Trans. Ind. Informatics	2023	DBLP DOI BibTeX RDF
18	Nan Miles Xi, Angelos Vasilopoulos	Tuning hyperparameters of doublet-detection methods for single-cell RNA sequencing data.	Quant. Biol.	2023	DBLP DOI BibTeX RDF
18	Nicoletta Del Buono, Flavia Esposito, Laura Selicato, Rafal Zdunek	Bi-level algorithm for optimizing hyperparameters in penalized nonnegative matrix factorization.	Appl. Math. Comput.	2023	DBLP DOI BibTeX RDF
18	Zhiqiang Zeng, Jinping Sun, Yanping Wang, Dandan Gu, Zhu Han 0002, Wen Hong	Few-Shot SAR Target Recognition Through Meta-Adaptive Hyperparameters' Learning for Fast Adaptation.	IEEE Trans. Geosci. Remote. Sens.	2023	DBLP DOI BibTeX RDF
18	Debasmita Mishra, Bighnaraj Naik, Janmenjoy Nayak, Alireza Souri, Pandit Byomakesha Dash, S. Vimal 0001	Light gradient boosting machine with optimized hyperparameters for identification of malicious access in IoT network.	Digit. Commun. Networks	2023	DBLP DOI BibTeX RDF
18	Dongmei Liu, Haibin Ouyang, Steven Li, Chunliang Zhang, Zhi-Hui Zhan	Hyperparameters optimization of convolutional neural network based on local autonomous competition harmony search algorithm.	J. Comput. Des. Eng.	2023	DBLP DOI BibTeX RDF
18	Dingqi Yang, Bingqing Qu, Rana Hussein, Paolo Rosso, Philippe Cudré-Mauroux, Jie Liu 0001	Revisiting Embedding Based Graph Analyses: Hyperparameters Matter!	IEEE Trans. Knowl. Data Eng.	2023	DBLP DOI BibTeX RDF
18	Meixuan He, Yuqing Liang, Jinlan Liu, Dongpo Xu	Convergence of Adam for Non-convex Objectives: Relaxed Hyperparameters and Non-ergodic Case.	CoRR	2023	DBLP DOI BibTeX RDF
18	Abel C. H. Chen	How to Prove the Optimized Values of Hyperparameters for Particle Swarm Optimization?	CoRR	2023	DBLP DOI BibTeX RDF
18	Césaire J. K. Fouodo, Lea L. Kronziel, Inke R. König, Silke Szymczak	Effect of hyperparameters on variable selection in random forests.	CoRR	2023	DBLP DOI BibTeX RDF
18	Andrea Bonfanti, Roberto Santana 0001, Marco Ellero, Babak Gholami	On the Hyperparameters influencing a PINN's generalization beyond the training domain.	CoRR	2023	DBLP DOI BibTeX RDF
18	Julie Keisler, El-Ghazali Talbi, Sandra Claudel, Gilles Cabriel	An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters.	CoRR	2023	DBLP DOI BibTeX RDF
18	Gustav Bredell, Marcel Fischer, Przemyslaw Szostak, Samaneh Abbasi-Sureshjani, Alvaro Gomariz 0001	Aggregation Model Hyperparameters Matter in Digital Pathology.	CoRR	2023	DBLP DOI BibTeX RDF
18	Andri Pranolo, Yingchi Mao, Aji Prasetya Wibawa, Agung Bella Putra Utama, Felix Andika Dwiyanto	Optimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 Prediction.	CoRR	2023	DBLP DOI BibTeX RDF
18	Yin-Ting Liao, Hengrui Luo, Anna Ma	Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization.	CoRR	2023	DBLP DOI BibTeX RDF
18	Mingzhou Yin, Roy S. Smith	Error Bounds for Kernel-Based Linear System Identification with Unknown Hyperparameters.	CoRR	2023	DBLP DOI BibTeX RDF
18	Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique 0001	Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens.	CoRR	2023	DBLP DOI BibTeX RDF
18	David Salinas, Jacek Golebiowski, Aaron Klein, Matthias W. Seeger, Cédric Archambeau	Optimizing Hyperparameters with Conformal Quantile Regression.	CoRR	2023	DBLP DOI BibTeX RDF
18	Joris Quist, Yunqiang Li, Jan van Gemert	Understanding weight-magnitude hyperparameters in training binary networks.	CoRR	2023	DBLP DOI BibTeX RDF
18	Paulo J. S. Ferreira, João Mendes-Moreira 0001, João M. P. Cardoso	A Study on Hyperparameters Configurations for an Efficient Human Activity Recognition System.	CoRR	2023	DBLP DOI BibTeX RDF
18	Flavia Esposito, Laura Selicato, Caterina Sportelli	Theoretical aspects in penalty hyperparameters optimization.	CoRR	2023	DBLP DOI BibTeX RDF
18	Tin Lai, Farnaz Farid, Abubakar Bello, Fariza Sabrina	Ensemble Learning based Anomaly Detection for IoT Cybersecurity via Bayesian Hyperparameters Sensitivity Analysis.	CoRR	2023	DBLP DOI BibTeX RDF
18	Manikanta Loya, Divya Anand Sinha, Richard Futrell	Exploring the Sensitivity of LLMs' Decision-Making Capabilities: Insights from Prompt Variation and Hyperparameters.	CoRR	2023	DBLP DOI BibTeX RDF
18	Theresa Eimer, Marius Lindauer, Roberta Raileanu	Hyperparameters in Reinforcement Learning and How To Tune Them.	CoRR	2023	DBLP DOI BibTeX RDF
18	Matthias Bitzer, Mona Meister, Christoph Zimmer	Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
18	Jeremy Bernstein, Chris Mingard, Kevin Huang, Navid Azizan, Yisong Yue	Automatic Gradient Descent: Deep Learning without Hyperparameters.	CoRR	2023	DBLP DOI BibTeX RDF
18	Oliver Lloyd, Yi Liu 0058, Tom R. Gaunt	Assessing the effects of hyperparameters on knowledge graph embedding quality.	J. Big Data	2023	DBLP DOI BibTeX RDF
18	Xiyuan Liu, Jia Wu 0005, Senpeng Chen	Efficient hyperparameters optimization through model-based reinforcement learning with experience exploiting and meta-learning.	Soft Comput.	2023	DBLP DOI BibTeX RDF
18	Caie Hu, Sanyou Zeng, Changhe Li	Scalable GP with hyperparameters sharing based on transfer learning for solving expensive optimization problems.	Appl. Soft Comput.	2023	DBLP DOI BibTeX RDF
18	Hanhan Yan, Qiang Li, Ming-Lang Tseng, Xin Guan	Joint-optimized feature selection and classifier hyperparameters by salp swarm algorithm in piano score difficulty measurement problem.	Appl. Soft Comput.	2023	DBLP DOI BibTeX RDF
18	Alberto Corredera, Carlos Ruiz	Prescriptive selection of machine learning hyperparameters with applications in power markets: Retailer's optimal trading.	Eur. J. Oper. Res.	2023	DBLP DOI BibTeX RDF
18	Vishal Asnani, Xi Yin 0001, Tal Hassner, Xiaoming Liu 0002	Reverse Engineering of Generative Models: Inferring Model Hyperparameters From Generated Images.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	DBLP DOI BibTeX RDF
18	Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo	Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning.	J. Sci. Comput.	2023	DBLP DOI BibTeX RDF
18	Yang Liu 0116, Jing Liu, Yifan Li	Automatic search of architecture and hyperparameters of graph convolutional networks for node classification.	Appl. Intell.	2023	DBLP DOI BibTeX RDF