Random Walks: A Review of Algorithms and Applications

Efficient Estimation of Word Representations in Vector Space

Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1301.3781 · Cited by 26,568

Untitled work

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node2vec: Scalable Feature Learning for Networks

Grover, A., & Leskovec, J. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · doi:10.1145/2939672.2939754 · Cited by 10,926

DeepWalk: online learning of social representations

Perozzi, B., Al-Rfou, R., & Skiena, S. (2014) · Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2623330.2623732 · Cited by 10,123

A fast quantum mechanical algorithm for database search

Grover, L. K. (1996) · Proceedings of the twenty-eighth annual ACM symposium on Theory of computing - STOC '96 · doi:10.1145/237814.237866 · Cited by 8,830

A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs

Karypis, G., & Kumar, V. (1998) · SIAM Journal on Scientific Computing · doi:10.1137/s1064827595287997 · Cited by 5,984

GroupLens: an open architecture for collaborative filtering of netnews

Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., & Riedl, J. (1994) · Proceedings of the 1994 ACM conference on Computer supported cooperative work - CSCW '94 · doi:10.1145/192844.192905 · Cited by 5,058

Semi-Supervised Learning Literature Survey

Zhu, X. (2005) · Cited by 3,828

Semi-supervised learning using Gaussian fields and harmonic functions

Zhu, X., Zoubin Ghahramani, A., & Lafferty, J. (2003) · Cited by 3,509

The link‐prediction problem for social networks

Liben‐Nowell, D., & Kleinberg, J. M. (2007) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20591 · Cited by 3,063

Discrete-time quantum walk dispersion control through long-range correlations

Buarque, A. R. C., Passos, F. S., Dias, W. S., & Raposo, E. P. (2023) · Physical review. E · doi:10.1103/physreve.107.064139 · Cited by 8

Meta-learning assisted robust control of universal quantum gates with uncertainties

Zhang, S., Miao, Z., Pan, Y., Tao, S., & Chen, Y. (2025) · npj Quantum Information · doi:10.1038/s41534-025-01034-9 · Cited by 5

On the fractional weibull process

Deng, W., Song, W., Cattani, C., Chen, J., & Chen, X. (2022) · Frontiers in Physics · doi:10.3389/fphy.2022.790791 · Cited by 5

Attributed Graph Force Learning

Sun, K., Xia, F., Liu, J., Xu, B., Saikrishna, V., & Aggarwal, C. C. (2022) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3221100 · Cited by 5

Structural and topological guided GCN for link prediction in temporal networks

Sserwadda, A., Özcan, A., & Yaslan, Y. (2023) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-023-04639-0 · Cited by 5

gSWORD: GPU-accelerated Sampling for Subgraph Counting

Ye, C., Li, Y., Sun, S., & Guo, W. (2024) · Proceedings of the ACM on Management of Data · doi:10.1145/3639288 · Cited by 5

MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks

Liu, J., Xia, F., Ren, J. F., Xu, B., Pang, G., & Chi, L. (2022) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/3564531 · Cited by 5

Coined quantum walks on the line: Disorder, entanglement, and localization

Yao, L. H., & Wald, S. (2023) · Physical review. E · doi:10.1103/physreve.108.024139 · Cited by 7

Triparts: Scalable Streaming Graph Partitioning to Enhance Community Structure

Bhoot, R., Khare, T., Agarwal, M., Jaiswal, S. D., & Simmhan, Y. L. (2025) · Proceedings of the VLDB Endowment · doi:10.14778/3746405.3746423 · Cited by 4

Quantitative study of random walk parameters in node2vec model

Li, Y., & Yang, B. (2024) · Physica Scripta · doi:10.1088/1402-4896/ad3eea · Cited by 4

Brewing Vodka: Distilling Pure Knowledge for Lightweight Threat Detection in Audit Logs

Wu, W.-Y., Qiao, W., Yan, W., Jiang, B., Liu, Y., Liu, B., Lu, Z., & Liu, J. (2025) · International World Wide Web Conference (WWW) · doi:10.1145/3696410.3714563 · Cited by 7

On cover times of Markov chains

Séricola, B. (2024) · Stochastic Models · doi:10.1080/15326349.2024.2319201 · Cited by 4

Self-Supervised Teaching and Learning of Representations on Graphs

Wan, L., Fu, Z., Sun, L., Wang, X., Xu, G., Yan, X., & Xia, F. (2023) · International World Wide Web Conference (WWW) · doi:10.1145/3543507.3583441 · Cited by 4

Attributed Network Embedding Using an Improved Weisfeiler-Lehman Schema and a Novel Deep Skip-Gram

Al-Furas, A., Alrahmawy, M. F., Alblwi, A., Eladrosy, W., & Elmougy, S. (2023) · IEEE Access · doi:10.1109/access.2023.3320059 · Cited by 4

Quantum encoding of dynamic directed graphs

Giustina, D. D., Londero, C., Piazza, C., Riccardi, B., & Romanello, R. (2023) · Journal of Logical and Algebraic Methods in Programming · doi:10.1016/j.jlamp.2023.100925 · Cited by 6

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks

Xu, J., Huang, R., Jiang, X., Cao, Y., Yang, C., Wang, C., & Yang, Y. (2023) · PubMed · doi:10.48550/arxiv.2311.01038 · Cited by 8

Identification of influential vertices in complex networks: A hitting time‐based approach

Kumar, P., Singh, A. K., & Sharma, A. (2024) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.8031 · Cited by 4

VIBRANT-WALK: An algorithm to detect plagiarism of figures in academic papers

Parmar, S., & Jain, B. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.124251 · Cited by 4

Design of biased random walks on a graph with application to collaborative recommendation

Leleux, P., Courtain, S., Françoisse, K., & Saerens, M. (2021) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2021.126752 · Cited by 4

Structure Diversity and Mean Hitting Time for Random Walks on Stochastic Uniform Growth Tree Networks

Ma, F., Wang, P., Luo, X., & Zhu, R. (2022) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2022.3206210 · Cited by 4

RCML: A Novel Algorithm for Regressing Price Movement during Commodity Futures Stress Testing Based on Machine Learning

Liu, C., Pan, W., & Zhou, H. (2023) · Journal of risk and financial management · doi:10.3390/jrfm16060285 · Cited by 4

Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction

Zhao, X., Liu, H., Dai, Q., Peng, H. M., Bai, X., & Peng, H. (2023) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm58861.2023.10385953 · Cited by 4

SaaN 2L-GRL: Two-Level Graph Representation Learning Empowered With Subgraph-as-a-Node

Park, J.-H., Lim, B.-Y., Lee, K., & Kwon, H.-Y. (2024) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2024.3421933 · Cited by 4

Beyond Boundaries: Capturing Social Segregation on Hypernetworks

Failla, A., Rossetti, G., & Cauteruccio, F. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-78541-2_3 · Cited by 3

Robustness of Random Walk on a Graph against Adversary Attacks

Kawamura, H., Shiina, S., Aung, H. N., & Ohsaki, H. (2024) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac61105.2024.00146 · Cited by 3

Non-Markovianity in discrete-time open quantum random walk on arbitrary graphs

Rani, M., Dutta, S., & Banerjee, S. (2024) · Quantum Information Processing · doi:10.1007/s11128-024-04616-2 · Cited by 4

An adaptive estimation method with exploration and exploitation modes for non-stationary environments

Coşkun, K., & Tümer, B. (2022) · Pattern Recognition · doi:10.1016/j.patcog.2022.108702 · Cited by 3

Complex Pattern Recognition and Understanding Model in English Linguistics based on Random Walk and Measure Analysis Algorithm

Zhao, Z., Meng, J., & Li, Y. (2022) · International Conference on Inventive Computation Technologies (ICICT) · doi:10.1109/icict54344.2022.9850630 · Cited by 3

Virtual Fences: A Systematic Literature Review

Abdouna, M., Ahmat, D., & Bissyandé, T. F. (2023) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-34896-9_9 · Cited by 3

A simple coin for a 2d entangled walk

Zahed, A., & Sen, K. (2023) · SciPost Physics Core · doi:10.21468/scipostphyscore.6.3.048 · Cited by 3

Nonnegative matrix factorization constrained by multiple labelled spanning trees for label propagation

Deng, F., Zhao, Y., Pei, J., Wang, S., & Yang, X. (2023) · Information Sciences · doi:10.1016/j.ins.2023.119616 · Cited by 3

SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data

Xia, F., Guo, T., Bai, X., Shatte, A. B. R., Liu, Z., & Tang, J. (2021) · ACM/IMS Transactions on Data Science · doi:10.1145/3510361 · Cited by 3

Random Walk in the Complete Graph : Hitting and Cover Times

Castella, F., & Séricola, B. (2025) · Methodology And Computing In Applied Probability · doi:10.1007/s11009-025-10166-6 · Cited by 2

Birds of a Feather: Enhancing Multimodal Fake News Detection Via Multi-Element Retrieval

Chen, X., Huang, X., Gao, Q., Li, H., Yu, J., & Liu, G. (2025) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde65448.2025.00270 · Cited by 2

An effective moving target defense scheme based on overlay topology mutation and randomized routing dispersion

Du, P., You, J., Li, Y., & Chen, J. (2025) · Computer Networks · doi:10.1016/j.comnet.2025.111869 · Cited by 2

A Novel Global Prototype-Based Node Embedding Technique

Alkayem, Z., Zewail, R., Shoukry, A., Kawahara, D., & Mohamed, S. A. E. (2022) · IEEE Access · doi:10.1109/access.2022.3225413 · Cited by 2

Application of Random Walks in Data Processing

Zhang, Y., & Zhang, H. (2023) · Highlights in Science Engineering and Technology · doi:10.54097/hset.v31i.5152 · Cited by 2

A Novel Image Segmentation Algorithm based on Continuous-Time Quantum Walk using Superpixels

Shi, W., Xu, F.-X., Zhou, Y., & Yang, Y. (2023) · International Journal of Theoretical Physics · doi:10.1007/s10773-023-05527-1 · Cited by 4

EchoSense: a framework for analyzing the echo chambers phenomenon: a case study on Qatar events

Kavargyris, D. C., Georgiou, K., & Angelis, L. (2024) · Social Network Analysis and Mining · doi:10.1007/s13278-024-01275-0 · Cited by 2

Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-Supervised Medical Image Classification

Zhang, Q., Yang, Y., Zu, C., Zhang, J., Wu, X., Zhou, J., & Wang, Y. (2025) · IEEE Transactions on Emerging Topics in Computational Intelligence · doi:10.1109/tetci.2025.3526498 · Cited by 2

Scalable Graph Classification via Random Walk Fingerprints

Li, P., Wang, H., & Böhm, C. (2024) · Proceedings · doi:10.1109/icdm59182.2024.00030 · Cited by 2

Bingo: Radix-based Bias Factorization for Random Walk on Dynamic Graphs

Wang, P., Huan, C., Wang, Z., Tian, C., Ji, Y., & Liu, H. (2025) · European Conference on Computer Systems · doi:10.1145/3689031.3717456 · Cited by 3

Complete Coverage Path Planning Strategy for Reconfigurable Robot With Variable Footprint

Tang, Q. R., Yi, L., Wan, A. Y. S., Hayat, A. A., Le, A. V., & Elara, M. R. (2025) · IEEE Access · doi:10.1109/access.2025.3560152 · Cited by 2

CIAGELP: Clustering Inspired Augmented Graph Embedding based Link Prediction in dynamic networks

Singh, N., Kumar, M., Kumar, S., & Biswas, B. (2025) · Data & Knowledge Engineering · doi:10.1016/j.datak.2025.102464 · Cited by 2

Discrete-time quantum walk on circular graph: Simulations and effect of gate depth and errors

Slimen, I. B., Gueddana, A., & Lakshminarayanan, V. (2021) · International Journal of Quantum Information · doi:10.1142/s0219749921500088 · Cited by 4

SmartColor: Automatic Web Color Scheme Generation Based on Deep Learning

Feng, Z., Hou, M., Liu, H., Liu, M., Kaur, A., Febrinanto, F. G., & Zhao, W. (2021) · International Conference on Information and Communication Systems (ICICS) · doi:10.1109/icics52457.2021.9464536 · Cited by 2

Directed Graph Encoding in Quantum Computing Supporting Edge-Failures

Giustina, D. D., Piazza, C., Riccardi, B., & Romanello, R. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-09005-9_6 · Cited by 2

Generative Service Provisioning for IoT Devices Using Line Graph Structure

Kim, J., & Kim, J. (2023) · IEEE Access · doi:10.1109/access.2023.3244890 · Cited by 2

DLRW: Dual-Link Weight Random Walk Model for Aquaculture Boundary Extraction by Single-Polarized SAR Imagery

Song, D., Zhu, C., Tao, J., Shi, X., & Wang, X. (2023) · Remote Sensing · doi:10.3390/rs15123109 · Cited by 2

Layout-Aware Quantum Circuitry and Algorithmic Extensions to Grover's Algorithm

Al-Bayaty, A. (2025) · doi:10.15760/etd.3924 · Cited by 2

Leveraging recommendations using a multiplex graph database

Yuehgoh, F., Djebali, S., & Travers, N. (2024) · International Journal of Web Information Systems · doi:10.1108/ijwis-05-2024-0137 · Cited by 2

Locally Optimal Information Pathways in the Presence of Static Adversaries for a Hierarchical Smart Distribution Grid Model

Gajić, N., & Wolthusen, S. D. B. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-84260-3_9 · Cited by 1

Advances in Random and Quantum Walks: Bridging Classical and Quantum Computational Paradigms

Soni, A., Rasool, A., & Singh, D. P. (2025) · Procedia Computer Science · doi:10.1016/j.procs.2025.04.528 · Cited by 1

Obfuscation and Traceability

Pocher, N. (2025) · Law, governance and technology series · doi:10.1007/978-3-031-94698-1_4 · Cited by 1

Network-driven identification of indisulam neo-substrates for targeted protein degradation

Jarnuczak, A. F., Yogev, O., Andres, A., Ashenden, S. K., Cheng, Y., Pachl, F., Zhang, A., Cuomo, M. E., & Jin, M. (2025) · Molecular Omics · doi:10.1039/d5mo00053j · Cited by 1

Modeling meta-reasoning processes using diffusion and quantum random walk models

Malaiya, R. K., & Golden, R. M. (2025) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2025.102952 · Cited by 1

A Reduced Stochastic Data-Driven Approach to Modelling and Generating Vertical Ground Reaction Forces During Running

Fernández, G., Terán, J. M. G., Iglesias-Pordomingo, Á., Peláez-Rodríguez, C., Lorenzana, A., & Magdaleno, Á. (2025) · Modelling—International Open Access Journal of Modelling in Engineering Science · doi:10.3390/modelling6040144 · Cited by 1

HSE-GFN: Multimodal Knowledge Graph Entity Alignment via Hierarchical Structure Encoding and Gated Fusion

Tang, F., Zhu, Y., Zhang, Z., Man, F., Ying, X., Chen, H., & Gan, Z. (2025) · Communications in computer and information science · doi:10.1007/978-981-95-4091-4_22 · Cited by 1

Generalized degree-biased random walk on scale-free networks

Singh, K., V., N. R., Chandrasekar, V. K., & Senthilkumar, D. V. (2025) · Physical review. E · doi:10.1103/z1mx-3nfh · Cited by 1

Bidirectional multi-nodes quantum teleportation using discrete-time quantum walk

Ikken, N., Kumar, P., Slaoui, A., Kar, B., Laamara, R. A., Moghadam, M. Z., & El‐Latif, A. A. A. (2025) · Scientific Reports · doi:10.1038/s41598-025-28524-2 · Cited by 1

Synergistic graph structure enhancement and beta modulated propagation for debiased recommendation

Kong, F., & Guan, S. (2026) · Applied Soft Computing · doi:10.1016/j.asoc.2026.114954 · Cited by 1

Combining graphlets and random walks for capturing complex network topology

Windels, S. F. L., Malod‐Dognin, N., & Pržulj, N. (2026) · Scientific Reports · doi:10.1038/s41598-026-44410-x · Cited by 1

Improving the Circuit Realization of Grover's Quantum Search Algorithm by Replacing Hadamard with √X Gates

Al-Bayaty, A., Al-Shuwaili, A., Alzubaidi, A. H., & Perkowski, M. A. (2026) · International Conference on Computing and Emerging Sciences · doi:10.1145/3797491.3797543 · Cited by 1

MS-DDGformer: A multi-scale synergized dual-driven graph transformer for industrial process fault diagnosis

Li, D., & Zhu, X. (2026) · ISA Transactions · doi:10.1016/j.isatra.2026.05.025 · Cited by 1

Flow matching-guided adaptive Markov Chain Monte Carlo with deep generative proposals for Bayesian model updating in structural health monitoring

Zeng, J., & Cao, Z.-J. (2026) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2026.112917 · Cited by 1

Unsupervised Feature Selection Using Fuzzy Graph Momentum Random Walk in Bi-Level Granular-Ball Knowledge Space

Sang, B., Gao, H., Yang, L., Xu, W., Chen, H., Xia, S., Li, T., & Wang, G. (2026) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2026.3700270 · Cited by 1

TrajGen: Approaches to the Artificial Generation of Trajectory Datasets

Walther, P., Teuscher, B., Luo, X., & Werner, M. (2026) · IEEE International Conference on Mobile Data Management (MDM) · doi:10.1109/mdm71479.2026.00022 · Cited by 1

3D printing part orientation optimization: discrete approximation of support volume

Guachetá-Alba, J. C., Garzon, S. G., Nunez, D. A., Mauledoux, M., & Sánchez, O. F. A. (2022) · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · doi:10.11591/ijece.v12i6.pp5958-5966 · Cited by 1

Mean Hitting Time of Q-subdivision Complex Networks

Kumar, P., Singh, A. K., Sharma, A., & Cherifi, H. (2023) · Studies in computational intelligence · doi:10.1007/978-3-031-21131-7_28 · Cited by 1

An incremental random walk algorithm for sampling continuous fitness landscapes

Li, Y., Liang, J., Yue, C., Yu, K., & Guo, H. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.126549 · Cited by 1

Automatic Measuring of Complex Walk and Simplest 555 Chip Chaos

Cheng, J., Huang, H., & Li, W. (2023) · International Conference on Computing and Artificial Intelligence (ICCAI) · doi:10.1145/3594315.3594406 · Cited by 1

Design and Implementation of Cyber Space Threat Detection System Based on User Behavioral Logs

Wang, W., Li, H., & Nie, P. (2023) · International Conference on Electronic Information Engineering and Computer Communication (EIECC) · doi:10.1109/eiecc60864.2023.10456685 · Cited by 1

A Improved Consistent Hash Algorithm in Heterogeneous Edge Computing

Chai, R., Gao, S., & Hu, Z. (2023) · IEEE International Conference on Parallel and Distributed Systems (ICPADS) · doi:10.1109/icpads60453.2023.00315 · Cited by 1

Social Recommendation Through Heterogeneous Graph Modeling of the Long-Term and Short-Term Preference Defined by Dynamic Time Spans

Jafari, B. M., Luo, X., & Jafari, A. (2023) · Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE) · doi:10.1109/csce60160.2023.00251 · Cited by 1

High-dimensional graphs convolution for quantum walks photonic applications

Abramov, R., Fedichkin, L. E., Tsarev, D. V., & Alodjants, A. P. (2024) · Quantum Information Processing · doi:10.1007/s11128-024-04351-8 · Cited by 1

ProxMetrics: modular proxemic similarity toolkit to generate domain-adaptable indicators from social media

Masson, M., Roose, P., Sallaberry, C., Bessagnet, M.-N., Parc, A. L., & Agerri, R. (2024) · Social Network Analysis and Mining · doi:10.1007/s13278-024-01282-1 · Cited by 1

Node Embedding Accelerates Randoms Walk on a Graph

Aung, H. N., & Ohsaki, H. (2024) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac61105.2024.00079 · Cited by 1

Alleviating Cold Start in the EOSC Recommendations: Extended Page Rank Algorithm

Wolski, M., Klorek, A., & Kobusińska, A. (2024) · IEEE Access · doi:10.1109/access.2024.3450632 · Cited by 1

Impact of local navigation rules on biased random walks in multiplex Markov chains

Kumar, A., Ghosh, S., Pal, P., & Hens, C. (2024) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2024.130122 · Cited by 1

Finite-sized one-dimensional lazy random walks

Kumar, M., Manikandan, K., & Sankaranarayanan, R. (2024) · The European Physical Journal Plus · doi:10.1140/epjp/s13360-024-05759-y · Cited by 1

Toward Graph Data Collaboration in a Data-Sharing-Free Manner: A Novel Privacy-Preserving Graph Pretraining Model

Xu, J., Wang, J., Zhou, Z., & Lu, T. (2025) · INFORMS journal on computing · doi:10.1287/ijoc.2023.0115 · Cited by 1

Universality and classification of elementary thermal operations

Hack, P., & Mendl, C. B. (2025) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8121/adf26e · Cited by 2

Distributed Multi-Robot Exploration Approach with Connectivity Maintenance

Chaabi, H., & Mitton, N. (2025) · International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) · doi:10.1109/dcoss-iot65416.2025.00020 · Cited by 1

Quantum algorithm for testing graph completeness

Giordano, S., & Martin-Delgado, M. A. (2025) · Annals of Physics · doi:10.1016/j.aop.2025.170305

A Quantum Approach to Walk on Networks

Singh, A. K., & Sachan, B. (2021) · International Conference on Signal Processing, Computing and Control (ISPCC) · doi:10.1109/ispcc53510.2021.9609345 · Cited by 1

Classical and Quantum Random Walks to Identify Leaders in Criminal Networks

Ficara, A., Fiumara, G., Meo, P. D., & Catanese, S. (2023) · Studies in computational intelligence · doi:10.1007/978-3-031-21127-0_16 · Cited by 1

Time Series Analysis of Computer Network Traffic in a Dedicated Link AggregationPreprint

Millán, G., Lefranc, G., Osorio-Comparán, R., & Lomas-Barrié, V. (2021) · Preprints.org · doi:10.20944/preprints202105.0506.v1 · Cited by 1

Deep Learning for Network Biology

Lusito, E. (2024) · Wiley eBooks · doi:10.1002/9781119846567.ch5 · Cited by 2

Response to glassy disorder in coin on spread of quantum walker

Ghosh, P., Sen, K., & Sen, U. (2026) · Physics Letters A · doi:10.1016/j.physleta.2026.131623 · Cited by 1

Time Series Analysis of Computer Network Traffic in a Dedicated Link AggregationPreprint

Millán, G., Lefranc, G., Osorio-Comparán, R., & Lomas-Barrié, V. (2021) · doi:10.36227/techrxiv.14575941

Time Series Analysis of Computer Network Traffic in a Dedicated Link AggregationPreprint

Millán, G., Lefranc, G., Osorio-Comparán, R., & Lomas-Barrié, V. (2021) · doi:10.36227/techrxiv.14575941.v1

Quantum Walk Circuits to Analyze Networks

Singh, A. K., & Sachan, B. (2022) · International Conference on Advanced Computing and Communication Systems (ICACCS) · doi:10.1109/icaccs54159.2022.9785059

Systems Analysis of de novo Mutations in Congenital Heart Diseases Identified a Molecular Network in Hypoplastic Left Heart SyndromePreprint

Wang, Y. J., Zhang, X., Lam, C. K., Guo, H., Wang, C., Zhang, S., Wu, J. C., Snyder, M. P., & Li, J. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.23.496464

Coronavirus Epidemic Spreading Prediction combining random walk with susceptible–exposed–infected–recovered–deceased (SEIRD) model

Wang, Z., & Yuan, Y. (2022) · Highlights in Science Engineering and Technology · doi:10.54097/hset.v6i.932

Studies on the generalized elephant quantum walk

Naves, C. B. (2022) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.76.2022.tde-31102022-163307

Scaling in the dynamics of directed lackadaisical quantum walks

Naredi, P., Kannan, J. B., & Santhanam, M. S. (2025) · Physics Letters A · doi:10.48550/arxiv.2211.06167

The role of network topological structure and semantic features in creating verbal aggression

Nejad, M. A., Nejad, S. A., Memariani, A., Asadpour, M., Hatami, J., & Kashani, M. M. (2022) · Journal of Complex Networks · doi:10.1093/comnet/cnac056

On the mean first passage time and mean cover time of a non-backtracking random walk on graphs

Matsuo, R., Kawagishi, T., & Ohsaki, H. (2022) · IEICE Communications Express · doi:10.1587/comex.2022xbl0146

On improving the properties of random walk on graph using Q-learning

Matsuo, R., Miyashita, T., Suzuki, T., & Ohsaki, H. (2022) · IEICE Communications Express · doi:10.1587/comex.2022xbl0153

Random Walks on Quasi-One-Dimensional Lattices

Sasom, S., & Hengpunya, V. (2023) · Journal of Statistical Physics · doi:10.1007/s10955-023-03113-7

Quantum walk and its application domains: A systematic review

Kadian, K., Garhwal, S., & Kumar, A. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100419 · Cited by 155

Advances in Random and Quantum Walks: Bridging Classical and Quantum Computational Paradigms

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