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Balancing Consistency and Disparity in Network Alignment

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-71681-5_2openalex-snapshot

Pairwise Global Alignment of Protein Interaction Networks by Matching Neighborhood Topology

inferredcites →https://doi.org/10.1093/bioinformatics/btu409openalex-snapshot

MAGNA: Maximizing Accuracy in Global Network Alignment

inferredcites →https://doi.org/10.1093/bioinformatics/btv161openalex-snapshot

MAGNA++: Maximizing Accuracy in Global Network Alignment via both node and edge conservation

inferredcites →https://doi.org/10.1109/icdm.2006.70openalex-snapshot

Fast Random Walk with Restart and Its Applications

inferredcites →https://doi.org/10.1109/icdm.2008.130openalex-snapshot

Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding

inferredcites →https://doi.org/10.1109/icdm.2009.135openalex-snapshot

Algorithms for Large, Sparse Network Alignment Problems

inferredcites →https://doi.org/10.1109/icdm.2015.114openalex-snapshot

Multiple Anonymized Social Networks Alignment

inferredcites →https://doi.org/10.1109/icdm.2019.00162openalex-snapshot

Dual Adversarial Learning Based Network Alignment

inferredcites →https://doi.org/10.1109/infocom.2018.8486231openalex-snapshot

DeepLink: A Deep Learning Approach for User Identity Linkage

inferredcites →https://doi.org/10.1109/tkde.2018.2866440openalex-snapshot

Attributed Network Alignment: Problem Definitions and Fast Solutions

inferredcites →https://doi.org/10.1137/1.9781611976700.31openalex-snapshot

Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach

inferredcites →https://doi.org/10.1145/1401890.1402008openalex-snapshot

ArnetMiner

inferredcites →https://doi.org/10.1145/2556195.2556248openalex-snapshot

Improving pairwise learning for item recommendation from implicit feedback

inferredcites →https://doi.org/10.1145/2623330.2623732openalex-snapshot

DeepWalk

inferredcites →https://doi.org/10.1145/2939672.2939754openalex-snapshot

node2vec

inferredcites →https://doi.org/10.1145/2939672.2939766openalex-snapshot

FINAL

inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

inferredcites →https://doi.org/10.1145/3269206.3271788openalex-snapshot

REGAL

inferredcites →https://doi.org/10.1145/3384203openalex-snapshot

Incomplete Network Alignment

inferredcites →https://doi.org/10.1145/3394486.3403082openalex-snapshot

A Data-Driven Graph Generative Model for Temporal Interaction Networks

inferredcites →https://doi.org/10.1145/3394486.3403141openalex-snapshot

NetTrans: Neural Cross-Network Transformation

inferredcites →https://doi.org/10.1145/3394486.3403218openalex-snapshot

Understanding Negative Sampling in Graph Representation Learning

inferredcites →https://doi.org/10.1145/3447548.3467234openalex-snapshot

PURE

inferredcites →https://doi.org/10.1186/s13637-015-0022-9openalex-snapshot

The post-genomic era of biological network alignment

inferredcites →https://doi.org/10.1609/aaai.v32i1.11604openalex-snapshot

Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning

inferredcites →https://doi.org/10.1609/aaai.v33i01.33013191openalex-snapshot

Robust Negative Sampling for Network Embedding

inferredcites →https://doi.org/10.18653/v1/d18-1032openalex-snapshot

Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks

inferredcites →https://doi.org/10.24963/ijcai.2018/611openalex-snapshot

Bootstrapping Entity Alignment with Knowledge Graph Embedding

inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot

Distributed Representations of Words and Phrases and their Compositionality

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4691777openalex-extracted

Modeling Multi-Scale Consistent Information for Network Alignment

inferred← citeshttps://doi.org/10.1007/978-3-031-43427-3_8openalex-snapshot

DegUIL: Degree-Aware Graph Neural Networks for Long-Tailed User Identity Linkage

inferred← citeshttps://doi.org/10.1007/978-3-031-53472-0_22openalex-snapshot

Generalized Gromov Wasserstein Distance for Seed-Informed Network Alignment

inferred← citeshttps://doi.org/10.1007/978-981-19-9297-1_9openalex-snapshot

Denoise Network Structure for User Alignment Across Networks via Graph Structure Learning

inferred← citeshttps://doi.org/10.1007/978-981-92-0366-6_17openalex-snapshot

Disentanglement-Based Contrastive Learning and Optimization for User Identity Linkage

inferred← citeshttps://doi.org/10.1007/s00521-022-08014-6openalex-snapshot

DENA: display name embedding method for Chinese social network alignment

inferred← citeshttps://doi.org/10.1007/s10618-026-01277-wopenalex-snapshot

IGA: isomorphism-aware graph alignment for robust unsupervised anchor link prediction

inferred← citeshttps://doi.org/10.1007/s11280-025-01334-2openalex-snapshot

Enhancing robust semi-supervised graph alignment via adaptive optimal transport

inferred← citeshttps://doi.org/10.1007/s11280-026-01411-0openalex-snapshot

Towards effective and efficient graph alignment without supervision

inferred← citeshttps://doi.org/10.1007/s12083-025-01945-6openalex-snapshot

Compact network alignment with mitigated sensitive information exposing in P2P networks: a community partition-based approach

inferred← citeshttps://doi.org/10.1007/s13042-024-02118-2openalex-snapshot

Rcoco: contrastive collective link prediction across multiplex network in Riemannian space

inferred← citeshttps://doi.org/10.1007/s40747-024-01626-6openalex-snapshot

Unveiling user identity across social media: a novel unsupervised gradient semantic model for accurate and efficient user alignment

inferred← citeshttps://doi.org/10.1016/j.ins.2025.122014openalex-snapshot

GRANA: Graph convolutional network based network representation learning method for attributed network alignment

inferred← citeshttps://doi.org/10.1016/j.ipm.2022.103021openalex-snapshot

HCNA: Hyperbolic Contrastive Learning Framework for Self-Supervised Network Alignment

inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103817openalex-snapshot

Locally-adaptive mapping for network alignment via meta-learning

inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103866openalex-snapshot

Multi-granularity attribute similarity model for user alignment across social platforms under pre-aligned data sparsity

inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116156openalex-snapshot

Information-Maximized Optimal Transport for interpretable and robust unsupervised graph alignment

inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116755openalex-snapshot

Adaptive multi-embedding framework for unsupervised network alignment

inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106583openalex-snapshot

An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment

inferred← citeshttps://doi.org/10.1016/j.physrep.2024.11.006openalex-snapshot

Network alignment

inferred← citeshttps://doi.org/10.1109/bigdia60676.2023.10429339openalex-snapshot

Aligning Users across Social Networks via Integrating Structural Similarity and Graph Representation Learning

inferred← citeshttps://doi.org/10.1109/icde55515.2023.00129openalex-snapshot

Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport

inferred← citeshttps://doi.org/10.1109/icde60146.2024.00212openalex-snapshot

CINA: Curvature-Based Integrated Network Alignment with Hypergraph

inferred← citeshttps://doi.org/10.1109/ickg59574.2023.00030openalex-snapshot

Enhancing Network Alignment through Multi-Scale Information Fusion

inferred← citeshttps://doi.org/10.1109/tbdata.2022.3218128openalex-snapshot

DAWN: Domain Generalization Based Network Alignment

inferred← citeshttps://doi.org/10.1109/tbdata.2024.3407543openalex-snapshot

Accurate Network Alignment via Consistency in Node Evolution

inferred← citeshttps://doi.org/10.1109/tbdata.2024.3423699openalex-snapshot

Dual Graph Convolutional Networks for Social Network Alignment

inferred← citeshttps://doi.org/10.1109/tkde.2023.3270119openalex-snapshot

Cross-Graph Embedding With Trainable Proximity for Graph Alignment

inferred← citeshttps://doi.org/10.1109/tkde.2023.3273782openalex-snapshot

MINING: Multi-Granularity Network Alignment Based on Contrastive Learning

inferred← citeshttps://doi.org/10.1109/tkde.2023.3277843openalex-snapshot

WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning

inferred← citeshttps://doi.org/10.1109/tkde.2025.3640287openalex-snapshot

CombAlign: Enhancing Model Expressiveness in Unsupervised Graph Alignment

inferred← citeshttps://doi.org/10.1109/tkde.2026.3707934openalex-snapshot

Self-Supervised Similar Community Search Based on Graph Matching Network

inferred← citeshttps://doi.org/10.1109/tmbmc.2026.3660396openalex-snapshot

Comparison of Biological Graph Alignment Algorithms With Hyperbolic Heterophilic Deep Graph Learning-Based Approach

inferred← citeshttps://doi.org/10.1109/tmc.2023.3345312openalex-snapshot

EgoMUIL: Enhancing Spatio-Temporal User Identity Linkage in Location-Based Social Networks With Ego-Mo Hypergraph

inferred← citeshttps://doi.org/10.1109/tnnls.2025.3592415openalex-snapshot

Interactive Graph Learning for Multilevel Network Alignment

inferred← citeshttps://doi.org/10.1109/tnse.2024.3355479openalex-snapshot

Collaborative Cross-Network Embedding Framework for Network Alignment

inferred← citeshttps://doi.org/10.1109/tsc.2023.3288872openalex-snapshot

Identifying Users Across Social Media Networks for Interpretable Fine-Grained Neighborhood Matching by Adaptive GAT

inferred← citeshttps://doi.org/10.1145/3539597.3570394openalex-snapshot

Weakly Supervised Entity Alignment with Positional Inspiration

inferred← citeshttps://doi.org/10.1145/3543507.3583357openalex-snapshot

PARROT: Position-Aware Regularized Optimal Transport for Network Alignment

inferred← citeshttps://doi.org/10.1145/3561058openalex-snapshot

GRASP: Scalable Graph Alignment by Spectral Corresponding Functions

inferred← citeshttps://doi.org/10.1145/3583780.3615084openalex-snapshot

TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning

inferred← citeshttps://doi.org/10.1145/3627673.3679658openalex-snapshot

Leveraging Trustworthy Node Attributes for Effective Network Alignment

inferred← citeshttps://doi.org/10.1145/3696410.3714937openalex-snapshot

Joint Optimal Transport and Embedding for Network Alignment

inferred← citeshttps://doi.org/10.1609/aaai.v38i15.29605openalex-snapshot

Hierarchical Multi-Marginal Optimal Transport for Network Alignment

inferred← citeshttps://doi.org/10.24963/ijcai.2023/678openalex-snapshot

Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment

inferred← citeshttps://doi.org/10.3390/a16050234openalex-snapshot

Deep Cross-Network Alignment with Anchor Node Pair Diverse Local Structure

inferred← citeshttps://doi.org/10.3390/app15126762openalex-snapshot

Adap-UIL: A Multi-Feature-Aware User Identity Linkage Framework Based on an Adaptive Graph Walk

inferred← citeshttps://doi.org/10.3390/math13121971openalex-snapshot

Leveraging Attribute Interaction and Self-Training for Graph Alignment via Optimal Transport

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