Methods › Graphs › Graph Embeddings › node2vec
node2vec
Introduced by Aditya Grover et al. in node2vec: Scalable Feature Learning for Networks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
node2vec is a framework for learning graph embeddings for nodes in graphs. Node2vec maximizes a likelihood objective over mappings which preserve neighbourhood distances in higher dimensional spaces. From an algorithm design perspective, node2vec exploits the freedom to define neighbourhoods for nodes and provide an explanation for the effect of the choice of neighborhood on the learned representations.
For each node, node2vec simulates biased random walks based on an efficient network-aware search strategy and the nodes appearing in the random walk define neighbourhoods. The search strategy accounts for the relative influence nodes exert in a network. It also generalizes prior work alluding to naive search strategies by providing flexibility in exploring neighborhoods.
Papers archive 2025-07-28
30 shown of 104, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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iN2V: Bringing Transductive Node Embeddings to Inductive Graphs 5 Jun 2025 · 0 repositories · arXiv:2506.05039
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Graph-Based Floor Separation Using Node Embeddings and Clustering of WiFi Trajectories 12 May 2025 · 1 repository · arXiv:2505.08088
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A quantum annealing approach to graph node embedding 8 Mar 2025 · 0 repositories · arXiv:2503.06332
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Stationary distribution of node2vec random walks on household models 26 Feb 2025 · 0 repositories · arXiv:2502.19039
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Machine Learning-Based Security Policy Analysis 30 Dec 2024 · 0 repositories · arXiv:2501.00085
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Two Layer Walk: A Community-Aware Graph Embedding 17 Dec 2024 · 1 repository · arXiv:2412.12933
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Spatio-temporal Latent Representations for the Analysis of Acoustic Scenes in-the-wild 10 Dec 2024 · 0 repositories · arXiv:2412.07648
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RiskSEA : A Scalable Graph Embedding for Detecting On-chain Fraudulent Activities on the Ethereum Blockchain 3 Oct 2024 · 0 repositories · arXiv:2410.02160
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From First-order to Higher-order Interactions: Enhanced Representation of Homotopic Functional Connectivity through Control of Intervening Variables 9 Jun 2024 · 0 repositories · arXiv:2406.05859
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Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation 29 May 2024 · 1 repository · arXiv:2405.19383
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Subgraph2vec: A random walk-based algorithm for embedding knowledge graphs 3 May 2024 · 0 repositories · arXiv:2405.02240
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Robustness of graph embedding methods for community detection 1 May 2024 · 1 repository · arXiv:2405.00636
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Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings 30 Apr 2024 · 0 repositories · arXiv:2405.00172
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Are Graph Embeddings the Panacea? An Empirical Survey from the Data Fitness Perspective 25 Apr 2024 · 1 repository
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BERT4FCA: A Method for Bipartite Link Prediction using Formal Concept Analysis and BERT 13 Feb 2024 · 0 repositories · arXiv:2402.08236
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Mastery Guided Non-parametric Clustering to Scale-up Strategy Prediction 4 Jan 2024 · 0 repositories · arXiv:2401.10210
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An FPGA-Based Accelerator for Graph Embedding using Sequential Training Algorithm 23 Dec 2023 · 0 repositories · arXiv:2312.15138
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Detecting Anomalous Network Communication Patterns Using Graph Convolutional Networks 30 Nov 2023 · 0 repositories · arXiv:2311.18525
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Single-Cell Deep Clustering Method Assisted by Exogenous Gene Information: A Novel Approach to Identifying Cell Types 28 Nov 2023 · 0 repositories · arXiv:2311.17104
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Hedging carbon risk with a network approach 21 Nov 2023 · 0 repositories · arXiv:2311.12450
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United We Stand, Divided We Fall: UnityGraph for Unsupervised Procedure Learning from Videos 6 Nov 2023 · 0 repositories · arXiv:2311.03550
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KG-FRUS: a Novel Graph-based Dataset of 127 Years of US Diplomatic Relations 30 Oct 2023 · 0 repositories · arXiv:2311.01606
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Embedding in Recommender Systems: A Survey 28 Oct 2023 · 1 repository · arXiv:2310.18608
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Positional Encoding-based Resident Identification in Multi-resident Smart Homes 27 Oct 2023 · 0 repositories · arXiv:2310.17836
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Community Detection Guarantees Using Embeddings Learned by Node2Vec 26 Oct 2023 · 0 repositories · arXiv:2310.17712
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Topological Node2vec: Enhanced Graph Embedding via Persistent Homology 15 Sep 2023 · 1 repository · arXiv:2309.08241
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Node Embedding for Homophilous Graphs with ARGEW: Augmentation of Random walks by Graph Edge Weights 11 Aug 2023 · 0 repositories · arXiv:2308.05957
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Scalable and Equitable Math Problem Solving Strategy Prediction in Big Educational Data 7 Aug 2023 · 1 repository · arXiv:2308.03892
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NODDLE: Node2vec based deep learning model for link prediction 25 May 2023 · 0 repositories · arXiv:2305.16421
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KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks 22 Feb 2023 · 0 repositories · arXiv:2302.11396
Tasks archive 2025-07-28
20 shown of 86 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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