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Inferring microrna-disease associations by random walk on a heterogeneous network with multiple data sources

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ItemRank: a random-walk based scoring algorithm for recommender engines

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The Problem of the Random Walk

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Shape Representation and Classification Using the Poisson Equation

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Multilabel Random Walker Image Segmentation Using Prior Models

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Sub-Markov Random Walk for Image Segmentation

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Simulating Dynamic Quantum Phase Transitions in Photonic Quantum Walks

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Multi-label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials

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Quantum to Classical Transition for Random Walks

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Connecting the discrete- and continuous-time quantum walks

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Research Paper Recommender Systems: A Random-Walk Based Approach

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Google in a Quantum Network

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Data Clustering by Markovian Relaxation and the Information Bottleneck Method

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Fast Random Walk Graph Kernel

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Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences

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MVCWalker: Random Walk-Based Most Valuable Collaborators Recommendation Exploiting Academic Factors

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A random walks perspective on maximizing satisfaction and profit

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Quantum algorithms for element distinctness

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Deterministic realization of collective measurements via photonic quantum walks

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Knowledge acquisition: A Complex networks approach

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Random Walks in Social Networks and their Applications: A Survey

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Recommendation Technologies: Survey of Current Methods and Possible Extensions

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Quantum Walks: Schur Functions Meet Symmetry Protected Topological Phases

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Graph Learning: A Survey

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Graph Neural Networks for Intrusion Detection: A Survey

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Fake Reviews Detection: A Survey

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Deepfake video detection: challenges and opportunities

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Deep Graph neural network-based spammer detection under the perspective of heterogeneous cyberspace

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Educational Big Data: Predictions, Applications and Challenges

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A preference random walk algorithm for link prediction through mutual influence nodes in complex networks

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Multimodal Educational Data Fusion for Students’ Mental Health Detection

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Network embedding: Taxonomies, frameworks and applications

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Deep Matrix Factorization for Trust-Aware Recommendation in Social Networks

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Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges

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Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation

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Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential Recommendation

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Self-Guided Proposal Generation for Weakly Supervised Object Detection

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Post-quantum distributed ledger technology: a systematic survey

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Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview

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CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs

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Trust‐aware generative adversarial network with recurrent neural network for recommender systems

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VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation

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Quantum walks with sequential aperiodic jumps

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Graph Computing Systems and Partitioning Techniques: A Survey

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Network Representation Learning: From Traditional Feature Learning to Deep Learning

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Quantification analysis of potential risk in railway accidents: A new random walk based approach

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A Dual Attention-Based Recurrent Neural Network for Short-Term Bike Sharing Usage Demand Prediction

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Keyword decisions in sponsored search advertising: A literature review and research agenda

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DAC-HPP: deep attributed clustering with high-order proximity preserve

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Multi-Agent Deep Reinforcement Learning Based Handover Strategy for LEO Satellite Networks

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Together Recognizing, Localizing and Summarizing Actions in Egocentric Videos

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A combined Markov Chain Monte Carlo and Levenberg–Marquardt inversion method for heterogeneous subsurface reservoir modeling

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Two Photon Quantum Walks

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Quantum Walk Algorithms

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