Network Embedding

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 165 papers with code (403 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• LINE: Large-scale Information Network Embedding
  12 Mar 2015 9 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  This paper studies the problem of embedding very large information networks into low-dimensional vector spaces, which is useful in many tasks such as visualization, node classification, and link prediction.
• Structural Deep Network Embedding
  1 Jun 2016 6 repositories listed
  Therefore, how to find a method that is able to effectively capture the highly non-linear network structure and preserve the global and local structure is an open yet important problem.
• Multi-scale Attributed Node Embedding
  28 Sep 2019 5 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  We present network embedding algorithms that capture information about a node from the local distribution over node attributes around it, as observed over random walks following an approach similar to Skip-gram.
• struc2vec: Learning Node Representations from Structural Identity
  11 Apr 2017 5 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  Implementation and experiments of graph embedding algorithms.
• Fast Sequence-Based Embedding with Diffusion Graphs
  21 Jan 2020 4 repositories listed
  A graph embedding is a representation of graph vertices in a low-dimensional space, which approximately preserves properties such as distances between nodes.
• Representation Learning for Attributed Multiplex Heterogeneous Network
  5 May 2019 4 repositories listed Syntology ran 0 of 6 samples · 6 unverified · 1 pointer-only (licence)
  Network embedding (or graph embedding) has been widely used in many real-world applications.
• mvn2vec: Preservation and Collaboration in Multi-View Network Embedding
  19 Jan 2018 4 repositories listed
  With experiments on a series of synthetic datasets, a large-scale internal Snapchat dataset, and two public datasets, we confirm the validity and importance of preservation and collaboration as two objectives for…
• Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
  9 Oct 2017 4 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  This work lays the theoretical foundation for skip-gram based network embedding methods, leading to a better understanding of latent network representation learning.
• Robust Dynamic Network Embedding via Ensembles
  30 May 2021 3 repositories listed
  It is natural to ask if existing DNE methods can perform well for an input dynamic network without smooth changes.
• Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning
  22 Sep 2020 3 repositories listed
  Instead of learning on the complete input graph data, with a novel data augmentation strategy, \textsc{Subg-Con} learns node representations through a contrastive loss defined based on subgraphs sampled from the…
• Multi-View Collaborative Network Embedding
  17 May 2020 3 repositories listed
  Real-world networks often exist with multiple views, where each view describes one type of interaction among a common set of nodes.
• Outlier Aware Network Embedding for Attributed Networks
  19 Nov 2018 3 repositories listed
  We also consider different downstream machine learning applications on networks to show the efficiency of ONE as a generic network embedding technique.
• Network Representation Learning with Rich Text Information
  24 Jun 2015 3 repositories listed
  Representation learning has shown its effectiveness in many tasks such as image classification and text mining.
• Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning
  25 Jun 2024 2 repositories listed Syntology ran 3 of 7 samples · 4 unverified · 7 pointer-only (licence)
  Specifically, the whole VNE process is decomposed into an upper-level policy for deciding whether to admit the arriving VNR or not and a lower-level policy for allocating resources of the physical network to meet the…
• FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation
  19 Apr 2024 2 repositories listed Syntology ran 1 of 6 samples · 5 unverified · 6 pointer-only (licence)
  In this paper, we propose a FLexible And Generalizable RL framework for VNE, named FlagVNE.
• Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition
  23 Jul 2022 2 repositories listed
  This enables each network to learn extra contrastive knowledge from others, leading to better feature representations, thus improving the performance of visual recognition tasks.
• GloDyNE: Global Topology Preserving Dynamic Network Embedding
  5 Aug 2020 2 repositories listed
  The main and common objective of Dynamic Network Embedding (DNE) is to efficiently update node embeddings while preserving network topology at each time step.
• Network Embedding with Completely-imbalanced Labels
  7 Jul 2020 2 repositories listed
  Network embedding, aiming to project a network into a low-dimensional space, is increasingly becoming a focus of network research.
• CSNE: Conditional Signed Network Embedding
  19 May 2020 2 repositories listed
  Experiments on a variety of real-world networks confirm that CSNE outperforms the state-of-the-art on the task of sign prediction.
• Fast Network Embedding Enhancement via High Order Proximity Approximation
  13 May 2020 2 repositories listed
  Many Network Representation Learning (NRL) methods have been proposed to learn vector representations for vertices in a network recently.
• Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?
  25 Feb 2020 2 repositories listed
  Network embedding methods map a network's nodes to vectors in an embedding space, in such a way that these representations are useful for estimating some notion of similarity or proximity between pairs of nodes in the…
• Adversarial Deep Network Embedding for Cross-network Node Classification
  18 Feb 2020 2 repositories listed Syntology ran 8 of 11 samples · 3 unverified · 11 pointer-only (licence)
  This motivates us to propose an adversarial cross-network deep network embedding (ACDNE) model to integrate adversarial domain adaptation with deep network embedding so as to learn network-invariant node representations…
• Unsupervised Attributed Multiplex Network Embedding
  15 Nov 2019 2 repositories listed
  Even for those that consider the multiplexity of a network, they overlook node attributes, resort to node labels for training, and fail to model the global properties of a graph.
• HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories
  16 Oct 2019 2 repositories listed
  With the massive number of repositories available, there is a pressing need for topic-based search.
• Fast and Accurate Network Embeddings via Very Sparse Random Projection
  30 Aug 2019 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Two key features of FastRP are: 1) it explicitly constructs a node similarity matrix that captures transitive relationships in a graph and normalizes matrix entries based on node degrees; 2) it utilizes very sparse…
• DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding
  27 Jul 2019 2 repositories listed
  Dynamic network embedding aims to learn low dimensional embeddings for unseen and seen nodes by using any currently available snapshots of a dynamic network.
• DANE: Domain Adaptive Network Embedding
  3 Jun 2019 2 repositories listed
  Recent works reveal that network embedding techniques enable many machine learning models to handle diverse downstream tasks on graph structured data.
• HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
  31 Jan 2019 2 repositories listed
  Second, given a meta path, nodes in HIN are connected by path instances while existing works fail to fully explore the differences between path instances that reflect nodes' preferences in the semantic space.
• Enhanced Network Embedding with Text Information
  29 Nov 2018 2 repositories listed
  TENE learns the representations of nodes under the guidance of both proximity matrix which captures the network structure and text cluster membership matrix derived from clustering for text information.
• Binarized Attributed Network Embedding
  22 Oct 2018 2 repositories listed
  To this end, we present a Binarized Attributed Network Embedding model (BANE for short) to learn binary node representation.

Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.