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Jointly Learning Representations of Nodes and Attributes for Attributed Networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-46227-1_38openalex-snapshot
Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings
inferredcites →https://doi.org/10.1080/01621459.2017.1285773openalex-snapshot
Variational Inference: A Review for Statisticians
inferredcites →https://doi.org/10.1109/tkde.2016.2591009openalex-snapshot
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks
inferredcites →https://doi.org/10.1137/1.9781611974973.71openalex-snapshot
Accelerated Attributed Network Embedding
inferredcites →https://doi.org/10.1145/1557019.1557109openalex-snapshot
Relational learning via latent social dimensions
inferredcites →https://doi.org/10.1145/2594455openalex-snapshot
Joint Link Prediction and Attribute Inference Using a Social-Attribute Network
inferredcites →https://doi.org/10.1145/2600428.2609521openalex-snapshot
Modeling the dynamics of personal expertise
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Learning to Represent Knowledge Graphs with Gaussian Embedding
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Structural Deep Network Embedding
inferredcites →https://doi.org/10.1145/3018661.3018667openalex-snapshot
Label Informed Attributed Network Embedding
inferredcites →https://doi.org/10.1145/3041021.3054181openalex-snapshot
Bi-directional Joint Inference for User Links and Attributes on Large Social Graphs
inferredcites →https://doi.org/10.1145/3132847.3132905openalex-snapshot
Attributed Signed Network Embedding
inferredcites →https://doi.org/10.1145/3132847.3132919openalex-snapshot
Attributed Network Embedding for Learning in a Dynamic Environment
inferredcites →https://doi.org/10.1145/3158671openalex-snapshot
Explicit Diversification of Event Aspects for Temporal Summarization
inferredcites →https://doi.org/10.1145/3159652.3159655openalex-snapshot
Exploring Expert Cognition for Attributed Network Embedding
inferredcites →https://doi.org/10.1145/3159652.3159674openalex-snapshot
Streaming Link Prediction on Dynamic Attributed Networks
inferredcites →https://doi.org/10.1145/3159652.3159706openalex-snapshot
Network Embedding as Matrix Factorization
inferredcites →https://doi.org/10.1145/3209978.3210034openalex-snapshot
Automatic Ground Truth Expansion for Timeline Evaluation
inferredcites →https://doi.org/10.1145/3219819.3219947openalex-snapshot
Large-Scale Learnable Graph Convolutional Networks
inferredcites →https://doi.org/10.1145/3219819.3220043openalex-snapshot
Dynamic Embeddings for User Profiling in Twitter
inferredcites →https://doi.org/10.1145/3219819.3220054openalex-snapshot
Embedding Temporal Network via Neighborhood Formation
inferredcites →https://doi.org/10.1145/3289600.3291015openalex-snapshot
Co-Embedding Attributed Networks
inferredcites →https://doi.org/10.1145/3357384.3358056openalex-snapshot
Constrained Co-embedding Model for User Profiling in Question Answering Communities
inferredcites →https://doi.org/10.1609/aaai.v30i1.10314openalex-snapshot
Holographic Embeddings of Knowledge Graphs
inferredcites →https://doi.org/10.1609/aaai.v31i1.10488openalex-snapshot
Community Preserving Network Embedding
inferredcites →https://doi.org/10.1609/aaai.v32i1.11257openalex-snapshot
Dynamic Network Embedding by Modeling Triadic Closure Process
inferredcites →https://doi.org/10.1609/aimag.v29i3.2157openalex-snapshot
Collective Classification in Network Data
inferredcites →https://doi.org/10.18653/v1/p16-1141openalex-snapshot
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
inferredcites →https://doi.org/10.24963/ijcai.2017/273openalex-snapshot
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
inferredcites →https://doi.org/10.24963/ijcai.2018/288openalex-snapshot
Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding
inferredcites →https://doi.org/10.24963/ijcai.2018/438openalex-snapshot
ANRL: Attributed Network Representation Learning via Deep Neural Networks
inferredcites →https://doi.org/10.24963/ijcai.2018/467openalex-snapshot
Deep Attributed Network Embedding
inferredcites →https://doi.org/10.3115/v1/w14-2517openalex-snapshot
Temporal Analysis of Language through Neural Language Models
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-snapshot
Auto-Encoding Variational Bayes
inferredcites →https://doi.org/10.48550/arxiv.1401.7709openalex-snapshot
Joint Inference of Multiple Label Types in Large Networks
inferredcites →https://doi.org/10.48550/arxiv.1402.0480openalex-snapshot
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets
inferredcites →https://doi.org/10.48550/arxiv.1412.6623openalex-snapshot
Word Representations via Gaussian Embedding
inferredcites →https://doi.org/10.48550/arxiv.1605.06197openalex-snapshot
Stick-Breaking Variational Autoencoders
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-snapshot
Semi-Supervised Classification with Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1611.07308openalex-snapshot
Variational Graph Auto-Encoders
inferredcites →https://doi.org/10.48550/arxiv.1706.02216openalex-snapshot
Inductive Representation Learning on Large Graphs
inferredcites →https://doi.org/10.48550/arxiv.1801.10247openalex-snapshot
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
inferredcites →https://doi.org/10.48550/arxiv.1910.14491openalex-snapshot
Semi-supervisedly Co-embedding Attributed Networks
inferredcites →https://doi.org/10.6084/m9.figshare.5203696openalex-snapshot
Variational Inference: A Review for Statisticians
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Deep Dual Support Vector Data description for anomaly detection on attributed networks
inferred← citeshttps://doi.org/10.1007/978-981-19-6142-7_3openalex-snapshot
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Deep autoencoder architecture with outliers for temporal attributed network embedding
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A relation-aware heterogeneous graph convolutional network for relationship prediction
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Deep joint adversarial learning for anomaly detection on attribute networks
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120264openalex-snapshot
Dynamic heterogeneous attributed network embedding
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102832openalex-snapshot
Content-oriented or persona-oriented? A text analytics of endorsement strategies on public willingness to participate in citizen science
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106600openalex-snapshot
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inferred← citeshttps://doi.org/10.1049/cit2.12215openalex-snapshot
Attention‐based network embedding with higher‐order weights and node attributes
inferred← citeshttps://doi.org/10.1109/access.2024.3398555openalex-snapshot
Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding
inferred← citeshttps://doi.org/10.1109/icdm50108.2020.00177openalex-snapshot
Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport
inferred← citeshttps://doi.org/10.1109/tce.2023.3314537openalex-snapshot
Heterogeneous Graph Convolutional Network for E-Commerce Product Recommendation With Adaptive Denoising Training
inferred← citeshttps://doi.org/10.1109/tcyb.2021.3124274openalex-snapshot
Toward Noise-Resistant Graph Embedding With Subspace Clustering Information
inferred← citeshttps://doi.org/10.1109/tifs.2024.3516570openalex-snapshot
NMFAD: Neighbor-Aware Mask-Filling Attributed Network Anomaly Detection
inferred← citeshttps://doi.org/10.1109/tkde.2021.3115669openalex-snapshot
Cross-Temporal Snapshot Alignment for Dynamic Networks
inferred← citeshttps://doi.org/10.1109/tpami.2025.3535763openalex-snapshot
Learning Node Representations via Sketching the Generative Process With Events Benefits Link Prediction on Heterogeneous Networks
inferred← citeshttps://doi.org/10.1145/3397271.3401252openalex-snapshot
A Heterogeneous Graph Neural Model for Cold-start Recommendation
inferred← citeshttps://doi.org/10.1145/3442203openalex-snapshot
Knowledge Transfer with Weighted Adversarial Network for Cold-Start Store Site Recommendation
inferred← citeshttps://doi.org/10.1145/3442381.3449821openalex-snapshot
Motif-Preserving Dynamic Attributed Network Embedding
inferred← citeshttps://doi.org/10.1145/3447548.3467327openalex-snapshot
Gaussian Process with Graph Convolutional Kernel for Relational Learning
inferred← citeshttps://doi.org/10.1145/3470565openalex-snapshot
Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model
inferred← citeshttps://doi.org/10.1145/3472955openalex-snapshot
Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks
inferred← citeshttps://doi.org/10.1145/3477049openalex-snapshot
A Normalizing Flow-Based Co-Embedding Model for Attributed Networks
inferred← citeshttps://doi.org/10.1145/3478284openalex-snapshot
Hyperspherical Variational Co-embedding for Attributed Networks
inferred← citeshttps://doi.org/10.1145/3609225openalex-snapshot
Dynamic Bayesian Contrastive Predictive Coding Model for Personalized Product Search
inferred← citeshttps://doi.org/10.1186/s40537-025-01342-zopenalex-snapshot
An adversarial variational graph autoencoder with contrastive learning for robust anomaly detection in large scale attributed networks
inferred← citeshttps://doi.org/10.1371/journal.pone.0273609openalex-snapshot
Encoding edge type information in graphlets
inferred← citeshttps://doi.org/10.14778/3421424.3421430openalex-snapshot
Scaling attributed network embedding to massive graphs
inferred← citeshttps://doi.org/10.32657/10356/145185openalex-snapshot
Efficient and scalable techniques for pagerank-based graph analytics
inferred← citeshttps://doi.org/10.3390/math10030485openalex-snapshot
Network Embedding Algorithm Taking in Variational Graph AutoEncoder
inferred← citeshttps://doi.org/10.70675/88879527za865z4f9fzb8bcza6bd26e93f8bopenalex-snapshot
Discοvering, expliciting, and handling semantical relatiοnships using deep learning οn variοus, large databases οf varying trustwοrthiness
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