On the public citation graph

Scalable Multiplex Network Embedding

https://doi.org/10.24963/ijcai.2018/428
0 signed · 225 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/asi.20591openalex-snapshot
The link‐prediction problem for social networks
inferredcites →https://doi.org/10.1007/11564126_44openalex-snapshot
Community Mining from Multi-relational Networks
inferredcites →https://doi.org/10.1016/j.cels.2016.10.017openalex-snapshot
Compact Integration of Multi-Network Topology for Functional Analysis of Genes
inferredcites →https://doi.org/10.1016/j.knosys.2018.03.022openalex-snapshot
Graph embedding techniques, applications, and performance: A survey
inferredcites →https://doi.org/10.1016/j.soctra.2006.01.001openalex-snapshot
the Collegial phenomenon. The social mechanisms of cooperation among peers in a corporate law partnership
inferredcites →https://doi.org/10.1016/s0378-8733(03)00009-1openalex-snapshot
Friends and neighbors on the Web
inferredcites →https://doi.org/10.1073/pnas.0506806103openalex-snapshot
Wiring optimization can relate neuronal structure and function
inferredcites →https://doi.org/10.1090/cbms/092openalex-snapshot
Spectral Graph Theory
inferredcites →https://doi.org/10.1103/physreve.64.025102openalex-snapshot
Clustering and preferential attachment in growing networks
inferredcites →https://doi.org/10.1109/icdmw.2017.23openalex-snapshot
Principled Multilayer Network Embedding
inferredcites →https://doi.org/10.1109/wi-iat.2010.313openalex-snapshot
Individual Neighbourhood Exploration in Complex Multi-layered Social Network
inferredcites →https://doi.org/10.1137/1.9781611975321.77openalex-snapshot
Multi-Layered Network Embedding
inferredcites →https://doi.org/10.1142/9789812779861_0015openalex-snapshot
A Survey of Manifold-Based Learning Methods
inferredcites →https://doi.org/10.1145/2623330.2623732openalex-snapshot
DeepWalk
inferredcites →https://doi.org/10.1145/2736277.2741093openalex-snapshot
LINE
inferredcites →https://doi.org/10.1145/2939672.2939754openalex-snapshot
node2vec
inferredcites →https://doi.org/10.1148/radiology.143.1.7063747openalex-snapshot
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
inferredcites →https://doi.org/10.2307/2577271openalex-snapshot
Multiplexity in Adult Friendships
inferredcites →https://doi.org/10.2307/2785979openalex-snapshot
The Diffusion of an Innovation Among Physicians
inferredcites →https://doi.org/10.2307/3323127openalex-snapshot
The Collegial Phenomenon. The Social Mechanisms of Cooperation among Peers in a Corporate Law Partnership
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.3939995openalex-extracted
Techniques for Forecasting Global Conflicts
inferred← citeshttps://doi.org/10.1007/978-3-030-05414-4_10openalex-snapshot
Multi-Net: A Scalable Multiplex Network Embedding Framework
inferred← citeshttps://doi.org/10.1007/978-3-030-30146-0_33openalex-snapshot
Predicting the Fixer of Software Bugs via a Collaborative Multiplex Network: Two Case Studies
inferred← citeshttps://doi.org/10.1007/978-3-030-47426-3_41openalex-snapshot
Learning Multigraph Node Embeddings Using Guided Lévy Flights
inferred← citeshttps://doi.org/10.1007/978-3-030-59410-7_48openalex-snapshot
Link Inference via Heterogeneous Multi-view Graph Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-59416-9_30openalex-snapshot
Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder
inferred← citeshttps://doi.org/10.1007/978-3-030-67658-2_17openalex-snapshot
Modeling Dynamic Heterogeneous Network for Link Prediction Using Hierarchical Attention with Temporal RNN
inferred← citeshttps://doi.org/10.1007/978-3-030-93046-2_2openalex-snapshot
DiffGNN: Capturing Different Behaviors in Multiplex Heterogeneous Networks for Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-030-93413-2_60openalex-snapshot
Drug Repositioning Using Multiplex-Heterogeneous Network Embedding: A Case Study on SARS-CoV2
inferred← citeshttps://doi.org/10.1007/978-3-031-10986-7_1openalex-snapshot
Multi-view Heterogeneous Network Embedding
inferred← citeshttps://doi.org/10.1007/978-3-031-22137-8_25openalex-snapshot
SAME: Sampling Attack in Multiplex Network Embedding
inferred← citeshttps://doi.org/10.1007/978-3-032-38410-2_47openalex-snapshot
Towards Efficiency and Accuracy: Learning One Compact View for Multiplex Graph Neural Networks via Structure-Aware Augmentation
inferred← citeshttps://doi.org/10.1007/978-981-15-0111-1_22openalex-snapshot
Predicting Protein-Protein Interaction in Multi-layer Blood Cell PPI Networks
inferred← citeshttps://doi.org/10.1007/978-981-19-9198-1_38openalex-snapshot
A Knowledge Graph Based Approach to Operational Coordination Recognition in Wargame
inferred← citeshttps://doi.org/10.1007/978-981-92-0288-1_21openalex-snapshot
Identifying Collaborative Enterprise Communities in Multi-chain Industrial Networks via Incomplete Multi-view Clustering
inferred← citeshttps://doi.org/10.1007/978-981-95-3346-6_40openalex-snapshot
Astronomical Catalogue Recommendation Based on Graph Neural Networks
inferred← citeshttps://doi.org/10.1007/978-981-95-3906-2_19openalex-snapshot
Mining Denoising Complementarity and Consistent Consensus for Unsupervised Multiplex Graph Representation Learning
inferred← citeshttps://doi.org/10.1007/978-981-97-5618-6_28openalex-snapshot
Link Prediction Based on Contrastive Multiple Heterogeneous Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1007/s00521-021-06706-zopenalex-snapshot
Heterogeneous information network embedding for user behavior analysis on social media
inferred← citeshttps://doi.org/10.1007/s00521-022-07326-xopenalex-snapshot
Scalable multi-view clustering with graph filtering
inferred← citeshttps://doi.org/10.1007/s10115-022-01706-4openalex-snapshot
MG2Vec+: A multi-headed graph attention network for multigraph embedding
inferred← citeshttps://doi.org/10.1007/s10462-026-11656-wopenalex-snapshot
Embedding learning on multiplex networks for link prediction
inferred← citeshttps://doi.org/10.1007/s10489-022-03733-8openalex-snapshot
HOPLP − MUL: link prediction in multiplex networks based on higher order paths and layer fusion
inferred← citeshttps://doi.org/10.1007/s10489-026-07431-7openalex-snapshot
MvCConvFormer: The graph convolution transformer network with self-distillation for multi-view graph clustering
inferred← citeshttps://doi.org/10.1007/s10618-026-01248-1openalex-snapshot
Representation learning for attributed multiplex networks: a graph signal processing approach using adaptive ARMA filters
inferred← citeshttps://doi.org/10.1007/s11192-024-05043-xopenalex-snapshot
Metapath and attribute-based academic collaborator recommendation in heterogeneous academic networks
inferred← citeshttps://doi.org/10.1007/s11432-018-9943-9openalex-snapshot
Dynamic network embedding via incremental skip-gram with negative sampling
inferred← citeshttps://doi.org/10.1007/s11704-021-1057-6openalex-snapshot
Heterogeneous information network embedding with incomplete multi-view fusion
inferred← citeshttps://doi.org/10.1007/s41109-019-0242-0openalex-snapshot
Learning embeddings for multiplex networks using triplet loss
inferred← citeshttps://doi.org/10.1016/j.asoc.2022.108461openalex-snapshot
Cross-network representation learning for anchor users on multiplex heterogeneous social network
inferred← citeshttps://doi.org/10.1016/j.asoc.2022.109193openalex-snapshot
A2AE: Towards adaptive multi-view graph representation learning via all-to-all graph autoencoder architecture
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.115909openalex-snapshot
Forecasting multi-sectoral technology convergence and manifestation through feasibility prediction via multiplex network, association rule mining, and machine learning
inferred← citeshttps://doi.org/10.1016/j.bar.2024.101436openalex-snapshot
Firm connection and equity return predictability – Graph-based machine learning methods
inferred← citeshttps://doi.org/10.1016/j.cosrev.2020.100246openalex-snapshot
Multilayer network simplification: Approaches, models and methods
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121370openalex-snapshot
A multidimensional framework for asphalt pavement evaluation based on multilayer network representation learning: A case study in RIOHTrack
inferred← citeshttps://doi.org/10.1016/j.future.2020.10.018openalex-snapshot
Large-scale online multi-view graph neural network and applications
inferred← citeshttps://doi.org/10.1016/j.future.2021.06.027openalex-snapshot
Detecting covert communities in multi-layer networks: A network embedding approach
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102846openalex-snapshot
Efficient self-supervised heterogeneous graph representation learning with reconstruction
inferred← citeshttps://doi.org/10.1016/j.ins.2021.05.083openalex-snapshot
A synchronous feature learning method for multiplex network embedding
inferred← citeshttps://doi.org/10.1016/j.ins.2022.04.002openalex-snapshot
Approximate personalized propagation for unsupervised embedding in heterogeneous graphs
inferred← citeshttps://doi.org/10.1016/j.ins.2022.09.042openalex-snapshot
Multilayer graph contrastive clustering network
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.104034openalex-snapshot
Technology convergence prediction based on temporal heterogeneous graph neural networks
inferred← citeshttps://doi.org/10.1016/j.jocs.2023.101975openalex-snapshot
Multi-view contrastive learning for multilayer network embedding
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.105861openalex-snapshot
Deep multiplex graph infomax: Attentive multiplex network embedding using global information
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107474openalex-snapshot
Multi-aspect self-supervised learning for heterogeneous information network
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109095openalex-snapshot
Network structural perturbation against interlayer link prediction
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110701openalex-snapshot
Meta-path infomax joint structure enhancement for multiplex network representation learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.12.068openalex-snapshot
Prediction of drug-target interactions based on multi-layer network representation learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131336openalex-snapshot
The multiplex deep latent position model for the clustering of nodes in multiview networks
inferred← citeshttps://doi.org/10.1016/j.neunet.2020.01.008openalex-snapshot
Multi-context aware user–item embedding for recommendation
inferred← citeshttps://doi.org/10.1016/j.neunet.2020.08.021openalex-snapshot
MGAT: Multi-view Graph Attention Networks
inferred← citeshttps://doi.org/10.1016/j.neunet.2021.10.006openalex-snapshot
Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation
inferred← citeshttps://doi.org/10.1016/j.neunet.2023.02.026openalex-snapshot
Dual adaptive learning multi-task multi-view for graph network representation learning
inferred← citeshttps://doi.org/10.1016/j.omega.2021.102520openalex-snapshot
Multilayer network analysis for improved credit risk prediction
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111557openalex-snapshot
Unsupervised multiplex graph representation learning via maximizing coding rate reduction
inferred← citeshttps://doi.org/10.1016/j.physa.2021.126794openalex-snapshot
Attributed multiplex graph clustering: A heuristic clustering-aware network embedding approach
inferred← citeshttps://doi.org/10.1016/j.physa.2022.127116openalex-snapshot
OLMNE+FT: Multiplex network embedding based on overlapping links
inferred← citeshttps://doi.org/10.1038/s41467-026-68896-1openalex-snapshot
Modeling roles and trade-offs in multiplex networks
inferred← citeshttps://doi.org/10.1038/s41598-021-87987-1openalex-snapshot
MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approach
inferred← citeshttps://doi.org/10.1049/cit2.12168openalex-snapshot
CoLM 2 S: Contrastive self‐supervised learning on attributed multiplex graph network with multi‐scale information
inferred← citeshttps://doi.org/10.1080/15481603.2024.2387392openalex-snapshot
Urban region representation learning with human trajectories: a multi-view approach incorporating transition, spatial, and temporal perspectives
inferred← citeshttps://doi.org/10.1088/2632-072x/ad0e23openalex-snapshot
Zoo guide to network embedding
inferred← citeshttps://doi.org/10.1093/bioinformatics/btad247openalex-snapshot
Gemini: memory-efficient integration of hundreds of gene networks with high-order pooling
inferred← citeshttps://doi.org/10.1109/access.2019.2957473openalex-snapshot
Exploiting Transfer Learning With Attention for In-Domain Top-N Recommendation
inferred← citeshttps://doi.org/10.1109/access.2021.3070318openalex-snapshot
Multilayer Network Representation Learning Method Based on Random Walk of Multiple Information
inferred← citeshttps://doi.org/10.1109/access.2022.3174197openalex-snapshot
Recommender Systems Based on Graph Embedding Techniques: A Review
inferred← citeshttps://doi.org/10.1109/access.2026.3736860openalex-snapshot
DAD-EMGNN: Detecting Anomalous Database User Behavior via Feature-Enhanced Multiplexed Graph Neural Networks
inferred← citeshttps://doi.org/10.1109/auteee60196.2023.10408514openalex-snapshot
Link Prediction with Mining and Filtering Information in Multiplex Networks
inferred← citeshttps://doi.org/10.1109/bibm49941.2020.9313595openalex-snapshot
NECo: A node embedding algorithm for multiplex heterogeneous networks
inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9005501openalex-snapshot
Improved Deep Embeddings for Inferencing with Multi-Layered Graphs
inferred← citeshttps://doi.org/10.1109/cbd69312.2025.00041openalex-snapshot
MDGCN: Meta-Path Disentangled Graph Convolutional Network for Multiplex Heterogeneous Graph Representation Learning
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095028openalex-snapshot
Learning with Multigraph Convolutional Filters
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095164openalex-snapshot
Algebraic Convolutional Filters on Lie Group Algebras
inferred← citeshttps://doi.org/10.1109/icbase63199.2024.10762532openalex-snapshot
Attribute Disturbance for Attributed Multiplex Heterogeneous Network Embedding
inferred← citeshttps://doi.org/10.1109/iccae59995.2024.10569961openalex-snapshot
A Community Detection Algorithm for Multi-View Attributed Network
inferred← citeshttps://doi.org/10.1109/iccc51575.2020.9345158openalex-snapshot
Edge-Concerned Embedding for Multiplex Heterogeneous Network
inferred← citeshttps://doi.org/10.1109/icde48307.2020.00147openalex-snapshot
Cross-Graph Convolution Learning for Large-Scale Text-Picture Shopping Guide in E-Commerce Search
inferred← citeshttps://doi.org/10.1109/icde53745.2022.00106openalex-snapshot
HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00014openalex-snapshot
Instant Representation Learning for Recommendation over Large Dynamic Graphs
inferred← citeshttps://doi.org/10.1109/icdm51629.2021.00136openalex-snapshot
An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding
inferred← citeshttps://doi.org/10.1109/icdm59182.2024.00013openalex-snapshot
HomoMGC: Homophily-Enhanced Adaptive Graph Refinement for Multi-View Graph Clustering
inferred← citeshttps://doi.org/10.1109/icdmw58026.2022.00098openalex-snapshot
Representing Social Networks as Dynamic Heterogeneous Graphs
inferred← citeshttps://doi.org/10.1109/iceace60673.2023.10442926openalex-snapshot
Intrinsic Property and Common Information Extraction for Unsupervised Multiplex Graph Learning
inferred← citeshttps://doi.org/10.1109/icme55011.2023.00154openalex-snapshot
Multi-view Network Embedding with Structure and Semantic Contrastive Learning
inferred← citeshttps://doi.org/10.1109/icpads60453.2023.00056openalex-snapshot
Clustering Information-guided Multi-view Contrastive Graph Clustering
inferred← citeshttps://doi.org/10.1109/icpc66645.2025.00051openalex-snapshot
Attributed Multiplex Learning for Analogical Third-Party Library Recommendation and Retrieval
inferred← citeshttps://doi.org/10.1109/ictai.2019.00216openalex-snapshot
An Adaptive Cross-Layer Sampling-Based Node Embedding for Multiplex Networks
inferred← citeshttps://doi.org/10.1109/icus52573.2021.9641270openalex-snapshot
Multiplex Graph Clustering with Network Embedding Technique: Review, Methods and Challenges
inferred← citeshttps://doi.org/10.1109/ijcnn.2019.8851949openalex-snapshot
Noise-Aware Network Embedding for Multiplex Network
inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9533609openalex-snapshot
Link Prediction with Multiple Structural Attentions in Multiplex Networks
inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9533909openalex-snapshot
Neural Blockmodeling for Multilayer Networks
inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9534065openalex-snapshot
Disentangled-based Adversarial Network for Multiplex Network Embedding
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191682openalex-snapshot
Common and Unique Features Learning in Multi-view Network Embedding
inferred← citeshttps://doi.org/10.1109/jbhi.2022.3200692openalex-snapshot
Digital Therapeutics Product Repositioning via Multiplex Link Prediction Based on Genomic, Chemical, and Technological Information
inferred← citeshttps://doi.org/10.1109/nnice61279.2024.10498196openalex-snapshot
Graph Neural Network with Heterogeneous Attributes for Node Classification
inferred← citeshttps://doi.org/10.1109/pic53636.2021.9687081openalex-snapshot
TransCL: Contrastive Learning on Complex Transportation Network
inferred← citeshttps://doi.org/10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00213openalex-snapshot
Multi-view clustering method based on graph attention autoencoder
inferred← citeshttps://doi.org/10.1109/tbdata.2022.3177455openalex-snapshot
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
inferred← citeshttps://doi.org/10.1109/tbdata.2025.3552331openalex-snapshot
Self-Guided Graph Refinement With Progressive Fusion for Multiplex Graph Contrastive Representation Learning
inferred← citeshttps://doi.org/10.1109/tcbbio.2026.3693046openalex-snapshot
WEmarker: Breast Cancer-Specific Prognostic Analysis With Weighted Multiplex Network Embedding
inferred← citeshttps://doi.org/10.1109/tcss.2022.3176928openalex-snapshot
Inductive Link Prediction via Interactive Learning Across Relations in Multiplex Networks
inferred← citeshttps://doi.org/10.1109/tcss.2025.3564398openalex-snapshot
A Universal Interpretable Multiview Clustering Framework: From Homogeneity to Heterogeneity
inferred← citeshttps://doi.org/10.1109/tcyb.2021.3084464openalex-snapshot
Multiview Graph Restricted Boltzmann Machines
inferred← citeshttps://doi.org/10.1109/tem.2024.3451154openalex-snapshot
Identification of Sustainable Convergence Technology for Batteries via Multiplex Link Prediction (August 2024)
inferred← citeshttps://doi.org/10.1109/tfuzz.2025.3597439openalex-snapshot
Multiview Fuzzy Clustering for Multilayer and Multiattribute Graphs
inferred← citeshttps://doi.org/10.1109/tits.2021.3113661openalex-snapshot
Who Will Travel With Me? Personalized Ranking Using Attributed Network Embedding for Pooling
inferred← citeshttps://doi.org/10.1109/tkde.2020.2992500openalex-snapshot
mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations via Metagraph Embedding
inferred← citeshttps://doi.org/10.1109/tkde.2020.3021393openalex-snapshot
Heuristic 3D Interactive Walk for Multilayer Network Embedding
inferred← citeshttps://doi.org/10.1109/tkde.2020.3045924openalex-snapshot
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark
inferred← citeshttps://doi.org/10.1109/tkde.2021.3101227openalex-snapshot
Multi-view Attributed Graph Clustering
inferred← citeshttps://doi.org/10.1109/tkde.2022.3140866openalex-snapshot
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks
inferred← citeshttps://doi.org/10.1109/tkde.2023.3268069openalex-snapshot
Multiplex Graph Representation Learning Via Dual Correlation Reduction
inferred← citeshttps://doi.org/10.1109/tkde.2023.3305809openalex-snapshot
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding
inferred← citeshttps://doi.org/10.1109/tkde.2025.3566387openalex-snapshot
Triangle Topology Enhancement for Multi-view Graph Clustering
inferred← citeshttps://doi.org/10.1109/tnnls.2019.2948797openalex-snapshot
GrAMME: Semisupervised Learning Using Multilayered Graph Attention Models
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3213799openalex-snapshot
Aspect-Aware Graph Attention Network for Heterogeneous Information Networks
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3274565openalex-snapshot
MultiplexSAGE: A Multiplex Embedding Algorithm for Inter-Layer Link Prediction
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3334751openalex-snapshot
Clustering Enhanced Multiplex Graph Contrastive Representation Learning
inferred← citeshttps://doi.org/10.1109/tnnls.2024.3401449openalex-snapshot
Dual Information Enhanced Multiview Attributed Graph Clustering
inferred← citeshttps://doi.org/10.1109/tnnls.2024.3489585openalex-snapshot
Beyond Euclidean Structures: Collaborative Topological Graph Learning for Multiview Clustering
inferred← citeshttps://doi.org/10.1109/tnse.2024.3417850openalex-snapshot
Complex Graph Analysis and Representation Learning: Problems, Techniques, and Applications
inferred← citeshttps://doi.org/10.1109/tpami.2023.3263079openalex-snapshot
muxGNN: Multiplex Graph Neural Network for Heterogeneous Graphs
inferred← citeshttps://doi.org/10.1109/tsp.2023.3259144openalex-snapshot
Convolutional Learning on Multigraphs
inferred← citeshttps://doi.org/10.1117/12.2685375openalex-snapshot
Multilayer network representation learning model with structure entropy information
inferred← citeshttps://doi.org/10.1142/s0218001425520408openalex-snapshot
Role-based Representation Learning of Multi-Relational Graph with Node Attributes
inferred← citeshttps://doi.org/10.1142/s2196888825300030openalex-snapshot
A Comprehensive Survey on Multi-Layer Graph Embedding Methods
inferred← citeshttps://doi.org/10.1145/3292500.3330964openalex-snapshot
Representation Learning for Attributed Multiplex Heterogeneous Network
inferred← citeshttps://doi.org/10.1145/3308558.3313499openalex-snapshot
Cross-Network Embedding for Multi-Network Alignment
inferred← citeshttps://doi.org/10.1145/3340531.3412127openalex-snapshot
A View-Adversarial Framework for Multi-View Network Embedding
inferred← citeshttps://doi.org/10.1145/3340531.3412724openalex-snapshot
Loan Default Analysis with Multiplex Graph Learning
inferred← citeshttps://doi.org/10.1145/3341161.3342864openalex-snapshot
Multi-level network embedding with boosted low-rank matrix approximation
inferred← citeshttps://doi.org/10.1145/3350546.3352511openalex-snapshot
Deep Dynamic Mixed Membership Stochastic Blockmodel
inferred← citeshttps://doi.org/10.1145/3357384.3358164openalex-snapshot
Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding
inferred← citeshttps://doi.org/10.1145/3366423.3380079openalex-snapshot
One2Multi Graph Autoencoder for Multi-view Graph Clustering
inferred← citeshttps://doi.org/10.1145/3366423.3380134openalex-snapshot
Deep Adversarial Completion for Sparse Heterogeneous Information Network Embedding
inferred← citeshttps://doi.org/10.1145/3366423.3380299openalex-snapshot
Large-Scale Talent Flow Embedding for Company Competitive Analysis
inferred← citeshttps://doi.org/10.1145/3394486.3403233openalex-snapshot
Graph Attention Networks over Edge Content-Based Channels
inferred← citeshttps://doi.org/10.1145/3415157openalex-snapshot
Multi-Stage Network Embedding for Exploring Heterogeneous Edges
inferred← citeshttps://doi.org/10.1145/3437963.3441745openalex-snapshot
Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network
inferred← citeshttps://doi.org/10.1145/3437963.3441763openalex-snapshot
Unsupervised Attributed Network Embedding via Cross Fusion
inferred← citeshttps://doi.org/10.1145/3441450openalex-snapshot
Multi-View Collaborative Network Embedding
inferred← citeshttps://doi.org/10.1145/3442381.3449882openalex-snapshot
Pathfinder Discovery Networks for Neural Message Passing
inferred← citeshttps://doi.org/10.1145/3442381.3449971openalex-snapshot
HDMI: High-order Deep Multiplex Infomax
inferred← citeshttps://doi.org/10.1145/3447548.3467227openalex-snapshot
Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment
inferred← citeshttps://doi.org/10.1145/3447548.3467300openalex-snapshot
A Broader Picture of Random-walk Based Graph Embedding
inferred← citeshttps://doi.org/10.1145/3447548.3467443openalex-snapshot
Semi-Supervised Deep Learning for Multiplex Networks
inferred← citeshttps://doi.org/10.1145/3447548.3470801openalex-snapshot
New Frontiers of Multi-Network Mining
inferred← citeshttps://doi.org/10.1145/3485447.3512177openalex-snapshot
KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios
inferred← citeshttps://doi.org/10.1145/3485447.3512208openalex-snapshot
Graph Communal Contrastive Learning
inferred← citeshttps://doi.org/10.1145/3487553.3524717openalex-snapshot
Deep Partial Multiplex Network Embedding
inferred← citeshttps://doi.org/10.1145/3503161.3547949openalex-snapshot
Simple Self-supervised Multiplex Graph Representation Learning
inferred← citeshttps://doi.org/10.1145/3508546.3508618openalex-snapshot
GRAE: Graph Recurrent Autoencoder for Multi-view Graph Clustering
inferred← citeshttps://doi.org/10.1145/3511808.3557291openalex-snapshot
Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks
inferred← citeshttps://doi.org/10.1145/3511808.3557490openalex-snapshot
X-GOAL
inferred← citeshttps://doi.org/10.1145/3511808.3557572openalex-snapshot
CS-MLGCN: Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks
inferred← citeshttps://doi.org/10.1145/3511808.3557577openalex-snapshot
Deep Contrastive Multiview Network Embedding
inferred← citeshttps://doi.org/10.1145/3534678.3539482openalex-snapshot
Multiplex Heterogeneous Graph Convolutional Network
inferred← citeshttps://doi.org/10.1145/3539597.3570367openalex-snapshot
Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering
inferred← citeshttps://doi.org/10.1145/3539618.3591998openalex-snapshot
How Significant Attributes are in the Community Detection of Attributed Multiplex Networks
inferred← citeshttps://doi.org/10.1145/3543507.3583485openalex-snapshot
Semi-Supervised Embedding of Attributed Multiplex Networks
inferred← citeshttps://doi.org/10.1145/3580305.3599441openalex-snapshot
Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling
inferred← citeshttps://doi.org/10.1145/3581783.3611971openalex-snapshot
Unsupervised Multiplex Graph learning with Complementary and Consistent Information
inferred← citeshttps://doi.org/10.1145/3606042.3616455openalex-snapshot
Self-Augmentation Graph Contrastive Learning for Multi-view Attribute Graph Clustering
inferred← citeshttps://doi.org/10.1145/3627673.3679597openalex-snapshot
A Learning-path based Supervised Method for Concept Prerequisite Relations Extraction in Educational Data
inferred← citeshttps://doi.org/10.1145/3664647.3681600openalex-snapshot
EMVCC: Enhanced Multi-View Contrastive Clustering for Hyperspectral Images
inferred← citeshttps://doi.org/10.1155/2021/2260488openalex-snapshot
Layer Information Similarity Concerned Network Embedding
inferred← citeshttps://doi.org/10.1155/2021/6644111openalex-snapshot
Multiplex Network Embedding Model with High‐Order Node Dependence
inferred← citeshttps://doi.org/10.1155/2024/4749668openalex-snapshot
PU‐GNN: A Positive‐Unlabeled Learning Method for Polypharmacy Side‐Effects Detection Based on Graph Neural Networks
inferred← citeshttps://doi.org/10.1371/journal.pone.0297989openalex-snapshot
Sampling clustering based on multi-view attribute structural relations
inferred← citeshttps://doi.org/10.1609/aaai.v34i04.5985openalex-snapshot
Unsupervised Attributed Multiplex Network Embedding
inferred← citeshttps://doi.org/10.1609/aaai.v34i04.5993openalex-snapshot
Temporal Network Embedding with High-Order Nonlinear Information
inferred← citeshttps://doi.org/10.1609/aaai.v34i04.6148openalex-snapshot
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel
inferred← citeshttps://doi.org/10.1609/aaai.v37i8.26105openalex-snapshot
Multiplex Graph Representation Learning via Common and Private Information Mining
inferred← citeshttps://doi.org/10.18653/v1/2020.emnlp-main.718openalex-snapshot
Sentiment Analysis of Tweets using Heterogeneous Multi-layer Network Representation and Embedding
inferred← citeshttps://doi.org/10.18653/v1/d19-1528openalex-snapshot
Multiplex Word Embeddings for Selectional Preference Acquisition
inferred← citeshttps://doi.org/10.2139/ssrn.4783052openalex-snapshot
Mpxgat: An Attention Based Deep Learning Model for Multiplex Graphs Embedding
inferred← citeshttps://doi.org/10.21428/594757db.d7f76fa5openalex-snapshot
Leveraging semantic for community mining in multilayer networks
inferred← citeshttps://doi.org/10.23919/ccc63176.2024.10662080openalex-snapshot
A Multi-view Clustering Model Based on Graph Contrastive Learning
inferred← citeshttps://doi.org/10.23919/ccc64809.2025.11179239openalex-snapshot
Contrastive Learning-Based Information-Aware Multiplex Heterogeneous Graph Neural Network
inferred← citeshttps://doi.org/10.2478/jdis-2022-0005openalex-snapshot
Academic Collaborator Recommendation Based on Attributed Network Embedding
inferred← citeshttps://doi.org/10.24963/ijcai.2019/489openalex-snapshot
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
inferred← citeshttps://doi.org/10.24963/ijcai.2020/342openalex-snapshot
Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling
inferred← citeshttps://doi.org/10.24963/ijcai.2021/375openalex-snapshot
Graph Filter-based Multi-view Attributed Graph Clustering
inferred← citeshttps://doi.org/10.2991/978-94-6463-108-1_83openalex-snapshot
A Study of Dynamic Heterogeneous Network Prediction based on DyHATR-Skip Embedding Fusion
inferred← citeshttps://doi.org/10.3233/ida-195065openalex-snapshot
An adaptive node embedding framework for multiplex networks
inferred← citeshttps://doi.org/10.3233/jifs-191796openalex-snapshot
A comparative study on heterogeneous information network embeddings
inferred← citeshttps://doi.org/10.32657/10356/137913openalex-snapshot
Learning graph representations for disease gene prediction
inferred← citeshttps://doi.org/10.3389/fphy.2021.763904openalex-snapshot
Node Classification in Attributed Multiplex Networks Using Random Walk and Graph Convolutional Networks
inferred← citeshttps://doi.org/10.3390/s23084168openalex-snapshot
Graph Representation Learning and Its Applications: A Survey
inferred← citeshttps://doi.org/10.36227/techrxiv.24152793openalex-snapshot
A Comprehensive Survey on Multilayered Graph Embedding
inferred← citeshttps://doi.org/10.36227/techrxiv.24152793.v1openalex-snapshot
A Comprehensive Survey on Multilayered Graph Embedding
inferred← citeshttps://doi.org/10.48550/arxiv.1801.06597openalex-snapshot
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding
inferred← citeshttps://doi.org/10.48550/arxiv.1902.08730openalex-snapshot
AliGraph: A Comprehensive Graph Neural Network Platform
inferred← citeshttps://doi.org/10.48550/arxiv.1908.02569openalex-snapshot
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation
inferred← citeshttps://doi.org/10.48550/arxiv.1912.08927openalex-snapshot
Hyperbolic Multiplex Network Embedding with Maps of Random Walk
inferred← citeshttps://doi.org/10.48550/arxiv.2001.02836openalex-snapshot
Multiplex Word Embeddings for Selectional Preference Acquisition
inferred← citeshttps://doi.org/10.48550/arxiv.2006.04637openalex-snapshot
Graph Representation Learning Network via Adaptive Sampling
inferred← citeshttps://doi.org/10.48550/arxiv.2101.00863openalex-snapshot
The Atlas for the Aspiring Network Scientist
inferred← citeshttps://doi.org/10.48550/arxiv.2108.09127openalex-snapshot
TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction
inferred← citeshttps://doi.org/10.48550/arxiv.2110.02038openalex-snapshot
Semi-Supervised Deep Learning for Multiplex Networks
showing the first 200 of 204
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.