Deep attributed network representation learning via enhanced local attribute neighbor

No abstract is available for this paper.

• Publication year

  2025

• Venue

  Neurocomputing

• Publication date

  2025-02-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1016/j.neucom.2025.129763
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• GSL-DTI: Graph Structure Learning Network for Drug-Target Interaction Prediction.

  2024cited by this paper
• Fusing heterogeneous information for multi-modal attributed network embedding

  2023cited by this paper
• Semi-supervised heterogeneous graph contrastive learning for drug-target interaction prediction

  2023cited by this paper
• Hierarchical graph learning for protein–protein interaction

  2023cited by this paper
• Network representation learning via improved random walk with restart

  2023cited by this paper
• Hierarchical Representation Learning for Attributed Networks

  2023cited by this paper
• A survey of structural representation learning for social networks

  2022cited by this paper
• Supervised graph co-contrastive learning for drug-target interaction prediction

  2022cited by this paper
• Community Detection with Graph Neural Network using Markov Stability

  2022cited by this paper
• Academic landscape of Technological Forecasting and Social Change through citation network and topic analyses

  2022cited by this paper
• HNS: Hierarchical negative sampling for network representation learning

  2021cited by this paper
• Network Representation Learning: From Traditional Feature Learning to Deep Learning

  2021cited by this paper
• Joint network embedding of network structure and node attributes via deep autoencoder

  2021cited by this paper
• Decoupled Representation Learning for Attributed Networks

  2021cited by this paper
• Graph Heterogeneous Multi-Relational Recommendation

  2021cited by this paper
• Graph Learning: A Survey

  2021cited by this paper
• Deep Attributed Network Representation Learning via Attribute Enhanced Neighborhood

  2021cited by this paper
• Fusing attributed and topological global-relations for network embedding

  2021cited by this paper
• Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing

  2021cited by this paper
• Graph Deep Learning: State of the Art and Challenges

  2021cited by this paper
• Deep attributed network representation learning of complex coupling and interaction

  2021cited by this paper
• Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding

  2020cited by this paper
• Attributed network representation learning via improved graph attention with robust negative sampling

  2020cited by this paper
• AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

  2020cited by this paper
• Network Embedding for Community Detection in Attributed Networks

  2020cited by this paper
• SkipGNN: predicting molecular interactions with skip-graph networks

  2020cited by this paper
• Clustering via Adaptive and Locality-constrained Graph Learning and Unsupervised ELM

  2020cited by this paper
• Fiedler Regularization: Learning Neural Networks with Graph Sparsity

  2020cited by this paper
• Relation constrained attributed network embedding

  2020cited by this paper
• High-performance community detection in social networks using a deep transitive autoencoder

  2019cited by this paper
• Deep Network Embedding for Graph Representation Learning in Signed Networks

  2019cited by this paper
• Co-Embedding Attributed Networks

  2019cited by this paper
• Fast consensus clustering in complex networks

  2019cited by this paper
• Deep Representation Learning for Social Network Analysis

  2019cited by this paper
• Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks

  2019cited by this paper
• Graph Transformer Networks

  2019cited by this paper
• Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks

  2019cited by this paper
• Deep Attributed Network Embedding

  2018cited by this paper
• Integrative Network Embedding via Deep Joint Reconstruction

  2018cited by this paper
• Deep Learning on Graphs: A Survey

  2018cited by this paper
• A United Approach to Learning Sparse Attributed Network Embedding

  2018cited by this paper
• GANE: A Generative Adversarial Network Embedding

  2018cited by this paper
• ANRL: Attributed Network Representation Learning via Deep Neural Networks

  2018cited by this paper
• SEANO: Semi-supervised Embedding in Attributed Networks with Outliers

  2017cited by this paper
• Attributed Social Network Embedding

  2017cited by this paper
• Accelerated Attributed Network Embedding

  2017cited by this paper
• Adversarial Network Embedding

  2017cited by this paper
• GraphGAN: Graph Representation Learning with Generative Adversarial Nets

  2017cited by this paper
• From Properties to Links: Deep Network Embedding on Incomplete Graphs

  2017cited by this paper
• Toward Personalized Relational Learning

  2017cited by this paper
• Community Preserving Network Embedding

  2017cited by this paper
• node2vec: Scalable Feature Learning for Networks

  2016cited by this paper
• Asymmetric Transitivity Preserving Graph Embedding

  2016cited by this paper
• Structural Deep Network Embedding

  2016cited by this paper
• Deep Neural Networks for Learning Graph Representations

  2016cited by this paper
• Geometric Deep Learning: Going beyond Euclidean data

  2016cited by this paper
• LINE: Large-scale Information Network Embedding

  2015cited by this paper
• Network Representation Learning with Rich Text Information

  2015cited by this paper
• GraRep: Learning Graph Representations with Global Structural Information

  2015cited by this paper
• DeepWalk: online learning of social representations

  2014cited by this paper
• Distributed Representations of Words and Phrases and their Compositionality

  2013cited by this paper
• A k-shell decomposition method for weighted networks

  2012cited by this paper
• Multiple Kernel Learning for Dimensionality Reduction

  2011cited by this paper
• Identifying influential spreaders in complex networks

  2010cited by this paper
• Dimensionality Reduction: A Comparative Review

  2008cited by this paper
• Robust kernel Isomap

  2007cited by this paper
• Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

  2007cited by this paper
• Diffusion maps

  2006cited by this paper
• Properties of the Hubert-Arabie adjusted Rand index.

  2004cited by this paper
• Principal Component Analysis

  2003cited by this paper
• The Isomap Algorithm and Topological Stability

  2002cited by this paper
• The use of the area under the ROC curve in the evaluation of machine learning algorithms

  1997cited by this paper

• Heterogeneous network representation learning via multiple attention mechanisms

  2025cites this paper
• A novel multi-label deep forest algorithm based on elite preservation strategy and multi-layer feature fusion

  2025cites this paper