On the public citation graph

Domain-Adversarial Network Alignment

https://doi.org/10.1109/tkde.2020.3023589

0 signed · 88 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-93417-4_38openalex-snapshot

Modeling Relational Data with Graph Convolutional Networks

inferredcites →https://doi.org/10.1016/j.aiopen.2021.01.001openalex-snapshot

Graph neural networks: A review of methods and applications

inferredcites →https://doi.org/10.1016/j.jmb.2004.04.047openalex-snapshot

LGL: Creating a Map of Protein Function with an Algorithm for Visualizing Very Large Biological Networks

inferredcites →https://doi.org/10.1073/pnas.0806627105openalex-snapshot

Global alignment of multiple protein interaction networks with application to functional orthology detection

inferredcites →https://doi.org/10.1086/jar.33.4.3629752openalex-snapshot

An Information Flow Model for Conflict and Fission in Small Groups

inferredcites →https://doi.org/10.1098/rsif.2010.0063openalex-snapshot

Topological network alignment uncovers biological function and phylogeny

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

Algorithms for Large, Sparse Network Alignment Problems

inferredcites →https://doi.org/10.1109/tcbb.2015.2474391openalex-snapshot

Global Alignment of Protein-Protein Interaction Networks: A Survey

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

ArnetMiner

inferredcites →https://doi.org/10.1145/1772690.1772767openalex-snapshot

Cross-domain sentiment classification via spectral feature alignment

inferredcites →https://doi.org/10.1145/2435209.2435212openalex-snapshot

Message-Passing Algorithms for Sparse Network Alignment

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

DeepWalk

inferredcites →https://doi.org/10.1145/2736277.2741093openalex-snapshot

LINE

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

FINAL

inferredcites →https://doi.org/10.1145/2939672.2939849openalex-snapshot

User Identity Linkage by Latent User Space Modelling

inferredcites →https://doi.org/10.1145/2983323.2983864openalex-snapshot

ASNets

inferredcites →https://doi.org/10.1145/3077136.3080786openalex-snapshot

IRGAN

inferredcites →https://doi.org/10.1145/3178876.3186128openalex-snapshot

Low Rank Spectral Network Alignment

inferredcites →https://doi.org/10.1145/3269206.3271675openalex-snapshot

Distribution Distance Minimization for Unsupervised User Identity Linkage

inferredcites →https://doi.org/10.1145/3357384.3357904openalex-snapshot

Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage

inferredcites →https://doi.org/10.1145/3459637.3482418openalex-snapshot

Deep Adversarial Network Alignment

inferredcites →https://doi.org/10.1186/s40537-016-0043-6openalex-snapshot

A survey of transfer learning

inferredcites →https://doi.org/10.1609/aaai.v28i1.8720openalex-snapshot

Mapping Users across Networks by Manifold Alignment on Hypergraph

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.v32i1.11865openalex-snapshot

Adversarial Network Embedding

inferredcites →https://doi.org/10.1609/aaai.v32i1.11872openalex-snapshot

GraphGAN: Graph Representation Learning With Generative Adversarial Nets

inferredcites →https://doi.org/10.1609/aaai.v33i01.3301996openalex-snapshot

Adversarial Learning for Weakly-Supervised Social Network Alignment

inferredcites →https://doi.org/10.18178/wcse.2019.06.016openalex-snapshot

Hybrid Graph Convolutional Networks for Semi-Supervised Classification

inferredcites →https://doi.org/10.24963/ijcai.2019/606openalex-snapshot

DANE: Domain Adaptive Network Embedding

inferredcites →https://doi.org/10.3115/v1/p15-1001openalex-snapshot

On Using Very Large Target Vocabulary for Neural Machine Translation

inferredcites →https://doi.org/10.48550/arxiv.1705.10513openalex-snapshot

IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models

inferredcites →https://doi.org/10.48550/arxiv.1706.03850openalex-snapshot

Adversarial Feature Matching for Text Generation

inferredcites →https://doi.org/10.48550/arxiv.1901.06003openalex-snapshot

Gromov-Wasserstein Learning for Graph Matching and Node Embedding

inferredcites →https://doi.org/10.48550/arxiv.1902.08661openalex-snapshot

Learning protein sequence embeddings using information from structure

inferredcites →https://doi.org/10.48550/arxiv.1903.02174openalex-snapshot

Graph Neural Networks for User Identity Linkage

inferredcites →https://doi.org/10.5555/2946645.2946704openalex-snapshot

Domain-adversarial training of neural networks

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/10.1007/978-3-030-82153-1_33openalex-snapshot

Embedding-Based Network Alignment Using Neural Tensor Networks

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/10.1007/978-981-96-9881-3_20openalex-snapshot

Gradual Social Network Alignment with Relation Augmentation and Multi-view Embedding

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/s11704-025-40985-2openalex-snapshot

A survey of social network alignment methods based on graph representation learning

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/10.1016/j.eswa.2023.122084openalex-snapshot

E-commerce bookstore user alignment model based on multidimensional feature joint representation and implicit behavior compensation

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122738openalex-snapshot

Touch-text answer for human-robot interaction via supervised adversarial learning

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130153openalex-snapshot

Posterior relation augmentation for multi-view and gradual network alignment

inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103733openalex-snapshot

Beyond embedding-mapping: Social network alignment via generative information fusion and LLM-guided iterative mechanism

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.2023.103472openalex-snapshot

Variety-aware GAN and online learning augmented self-training model for knowledge graph entity alignment

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114136openalex-snapshot

Transformer-driven multi-scale contextual alignment for robust E-nose drift compensation

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132367openalex-snapshot

Multi-view social network alignment with comprehensive disparity alleviation

inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107230openalex-snapshot

Multi-level social network alignment via adversarial learning and graphlet modeling

inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107295openalex-snapshot

Augmenting sparse behavior data for user identity linkage with self-generated by model and mixup-generated samples

inferred← citeshttps://doi.org/10.1109/acait67930.2025.11522081openalex-snapshot

Subgraph Alignment via Spectral Laplacian and Graph Attention Network Integration

inferred← citeshttps://doi.org/10.1109/access.2025.3549787openalex-snapshot

Enhancing the Efficiency of Unsupervised Network Alignment Using Quotient Graph

inferred← citeshttps://doi.org/10.1109/compsac51774.2021.00240openalex-snapshot

Shared-latent Variable Network Alignment

inferred← citeshttps://doi.org/10.1109/dsaa60987.2023.10302602openalex-snapshot

EvoAlign: A Continual Learning Framework for Aligning Evolving Networks

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

CINA: Curvature-Based Integrated Network Alignment with Hypergraph

inferred← citeshttps://doi.org/10.1109/ichci54629.2021.00061openalex-snapshot

Distance Adaptive Embedding Learning for Social Network Alignment

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

Enhancing Network Alignment through Multi-Scale Information Fusion

inferred← citeshttps://doi.org/10.1109/ictai62512.2024.00041openalex-snapshot

Adversarially Regularized Graph Embedding for User Identity Linkage Across Social Networks

inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10651152openalex-snapshot

Topic Partition of User-Generated Texts for User Identity Linkage Across Social Networks

inferred← citeshttps://doi.org/10.1109/jsen.2024.3502470openalex-snapshot

Cross-Domain Retinopathy Classification Based on Optical Coherence Tomography Sensors via Domain Adversarial Graph Convolutional Network

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/tcbbio.2025.3641230openalex-snapshot

Synthetic Assessment of Transfer Learning Method From Cell Lines to Single-Cell on Drug Response Prediction

inferred← citeshttps://doi.org/10.1109/tetci.2023.3245103openalex-snapshot

Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework

inferred← citeshttps://doi.org/10.1109/tgrs.2025.3636164openalex-snapshot

Hierarchical Prototype Learning With Uncertainty-Aware Adaptation for Cross-Domain Semantic Segmentation of Remote Sensing Images

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.2023.3277843openalex-snapshot

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

inferred← citeshttps://doi.org/10.1109/tkde.2023.3329380openalex-snapshot

Graph Alignment Neural Network Model With Graph to Sequence 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/tmbmc.2026.3660396openalex-snapshot

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

inferred← citeshttps://doi.org/10.1109/tnnls.2023.3321900openalex-snapshot

Knowledge Graph Alignment Under Scarce Supervision: A General Framework With Active Cross-View Contrastive Learning

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/trustcom63139.2024.00301openalex-snapshot

Cross-platform Network User Alignment Interference Methods Based on Obfuscation Strategy

inferred← citeshttps://doi.org/10.1145/3459637.3482353openalex-snapshot

iMap

inferred← citeshttps://doi.org/10.1145/3474085.3475669openalex-snapshot

GAMnet

inferred← citeshttps://doi.org/10.1145/3522762openalex-snapshot

Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation

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

PARROT: Position-Aware Regularized Optimal Transport for Network Alignment

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

Joint Optimal Transport and Embedding for Network Alignment

inferred← citeshttps://doi.org/10.1371/journal.pone.0317193openalex-snapshot

Evaluation of stroke sequelae and rehabilitation effect on brain tumor by neuroimaging technique: A comparative study

inferred← citeshttps://doi.org/10.1613/jair.1.14427openalex-snapshot

SAlign: A Graph Neural Attention Framework for Aligning Structurally Heterogeneous Networks

inferred← citeshttps://doi.org/10.2139/ssrn.6545802openalex-snapshot

Modeling Multi-scale Consistent Information for Network Alignment

inferred← citeshttps://doi.org/10.3390/app12157668openalex-snapshot

Neural Graph Similarity Computation with Contrastive Learning

inferred← citeshttps://doi.org/10.3390/math10244766openalex-snapshot

Collaborative Screening of COVID-19-like Disease from Multi-Institutional Radiographs: A Federated Learning Approach

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.