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Adversarial Learning on Heterogeneous Information 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/10.1016/j.ymeth.2017.06.036openalex-snapshot
Disease gene classification with metagraph representations
inferredcites →https://doi.org/10.1109/tkde.2016.2598561openalex-snapshot
A survey of heterogeneous information network analysis
inferredcites →https://doi.org/10.1109/tkde.2018.2807452openalex-snapshot
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
inferredcites →https://doi.org/10.1109/tkde.2018.2833443openalex-snapshot
Heterogeneous Information Network Embedding for Recommendation
inferredcites →https://doi.org/10.1109/tkde.2018.2849727openalex-snapshot
A Survey on Network Embedding
inferredcites →https://doi.org/10.1137/1.9781611975321.16openalex-snapshot
A sp E m : Embedding Learning by Aspects in Heterogeneous Information Networks
inferredcites →https://doi.org/10.1145/2783258.2783296openalex-snapshot
Heterogeneous Network Embedding via Deep Architectures
inferredcites →https://doi.org/10.1145/2939672.2939753openalex-snapshot
Structural Deep Network Embedding
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3178876.3186106openalex-snapshot
Deep Collective Classification in Heterogeneous Information Networks
inferredcites →https://doi.org/10.1145/3219819.3219956openalex-snapshot
Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient
inferredcites →https://doi.org/10.1145/3219819.3219965openalex-snapshot
Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model
inferredcites →https://doi.org/10.1145/3219819.3219969openalex-snapshot
Arbitrary-Order Proximity Preserved Network Embedding
inferredcites →https://doi.org/10.1145/3219819.3220000openalex-snapshot
Learning Deep Network Representations with Adversarially Regularized Autoencoders
inferredcites →https://doi.org/10.1145/3269206.3271768openalex-snapshot
Semi-supervised Learning on Graphs with Generative Adversarial Nets
inferredcites →https://doi.org/10.1609/aaai.v24i1.7524openalex-snapshot
UserRec: A User Recommendation Framework in Social Tagging Systems
inferredcites →https://doi.org/10.1609/aaai.v31i1.10804openalex-snapshot
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
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.v32i1.12037openalex-snapshot
Generative Adversarial Network Based Heterogeneous Bibliographic Network Representation for Personalized Citation Recommendation
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301946openalex-snapshot
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism
inferredcites →https://doi.org/10.24963/ijcai.2017/544openalex-snapshot
Fast Network Embedding Enhancement via High Order Proximity Approximation
inferredcites →https://doi.org/10.24963/ijcai.2018/362openalex-snapshot
Adversarially Regularized Graph Autoencoder for Graph Embedding
inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot
GAN（Generative Adversarial Nets）
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.48550/arxiv.1605.05396openalex-snapshot
Generative Adversarial Text to Image Synthesis
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-snapshot
Semi-Supervised Classification with Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1705.10513openalex-snapshot
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Learning Accurate Neighborhood- and Self-Information for Higher-Order Relation Prediction in Heterogeneous Information Networks
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Heterogeneous Graph Embedding for Cross-Domain Recommendation Through Adversarial Learning
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Weighted Meta-Path Embedding Learning for Heterogeneous Information Networks
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A Literature Review of Recent Graph Embedding Techniques for Biomedical Data
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Multi-view Self-supervised Heterogeneous Graph Embedding
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Representation Learning on Multi-layered Heterogeneous Network
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HNECV: Heterogeneous Network Embedding via Cloud Model and Variational Inference
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Heterogeneous Network Representation Learning Based on Adaptive Multi-channel Graph Convolution
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Information Diffusion Prediction Based on Deep Attention in Heterogeneous Networks
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Semi-supervised Classification Based on Graph Convolution Encoder Representations from BERT
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M$$^2$$HGCL: Multi-scale Meta-path Integrated Heterogeneous Graph Contrastive Learning
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Citation Recommendation Employing Proximity-Based Heterogeneous Network Embeddings
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A Review of Link Prediction on Heterogeneous Networks
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Platforms and Practice of Heterogeneous Graph Representation Learning
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The State-of-the-Art of Heterogeneous Graph Representation
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Structure-Preserved Heterogeneous Graph Representation
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Attribute-Assisted Heterogeneous Graph Representation
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Emerging Topics of Heterogeneous Graph Representation
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Recent Graph Neural Networks: A Survey
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Empower Label Propagation in Heterogeneous Information Networks
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Zero-Shot Heterogeneous Graph Embedding via Semantic Extraction
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Attributed Heterogeneous Graph Embedding with Meta-graph Attention
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Topological Network Field Preservation for Heterogeneous Graph Embedding
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Enhancing Heterogeneous Graph Contrastive Learning with Strongly Correlated Subgraphs
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A citation recommendation model employing knowledge graph embedding
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McH-HGCN: multi-curvature hyperbolic heterogeneous graph convolutional network with type triplets
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A novel contrastive multi-view framework for heterogeneous graph embedding
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Heterogeneous graph neural networks analysis: a survey of techniques, evaluations and applications
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An interlayer feature fusion-based heterogeneous graph neural network
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PRM-KGED: paper recommender model using knowledge graph embedding and deep neural network
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DFF-HGNN: Dual-Feature Fusion Heterogeneous Graph Neural Network
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EPHG-CR: embedding propagation for heterogeneous graphs with class refinement
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Network embedding based on high-degree penalty and adaptive negative sampling
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Heterogeneous graph embedding with single-level aggregation and infomax encoding
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Machine learning approaches for predicting the small molecule–miRNA associations: a comprehensive review
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Metapath-guided dual semantic-aware filtering for HIN-based recommendation
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Adaptive heterogeneous graph reasoning for relational understanding in interconnected systems
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Sparse relation prediction based on hypergraph neural networks in online social networks
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Adversarial network embedding using structural similarity
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A survey on learning from graphs with heterophily: recent advances and future directions
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Early detection of rumors based on propagation prediction in social media
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HINAC: LLM-enhanced heterogeneous graph attribute completion with heterogeneity-distribution-aware graph transformer
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PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding
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Automated message selection for robust Heterogeneous Graph Contrastive Learning
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Learning accurate neighborhood- and self-information for higher-order relation prediction in Heterogeneous Information Networks
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Heterogeneous network representation learning based on role feature extraction
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Competitive firm prediction: A novel heterogeneous graph sampled weighted attention network
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RETRACTED ARTICLE: An Attention-Based Adversarial Disentangle Heterogeneous Embedding for Improving Node Classification
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A Dual-Attention Heterogeneous Graph Neural Network for Expert Recommendation in Online Agricultural Question and Answering Communities
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Node-Centric Meta Structure Search in Heterogeneous Graphs
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Heterogeneous Graph Embedding Based on Graph Neural Network and Attention Mechanism
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WMPEClus: Clustering via Weighted Meta-Path Embedding for Heterogeneous Information Networks
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GAHNE: Graph-Aggregated Heterogeneous Network Embedding
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Sequence Contained Heterogeneous Graph Neural Network
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Zero-shot Heterogeneous Graph Embedding via Aggregating Metapath Semantically
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Identifying Abnormal Sessions via Adversarial Learning on Heterogeneous Information Network
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Identification of Providers with Similar Risk Profiles in Healthcare Claims Using Graphs
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Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview
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EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection
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Heterogeneous Graph Contrastive Learning With Augmentation Graph
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A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
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Self-Supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning
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HEGANLDA: A Computational Model for Predicting Potential Lncrna-Disease Associations Based On Multiple Heterogeneous Networks
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Multitype Perception Method for Drug-Target Interaction Prediction
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A Network Enhancement Method to Identify Spurious Drug-Drug Interactions
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HGDCN: A Multi-Scale Representation Learning Method for Knowledge Discovery and Social Networks
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Learning Network Representations With Different Order Structural Information
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Inductive Link Prediction via Interactive Learning Across Relations in Multiplex Networks
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A Review of Few-Shot and Zero-Shot Learning for Node Classification in Social Networks
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Connecting Users With Similar Tendencies in Social Networks by Weighted Random Walking on Heterogeneous Information Network
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Learning Graph Embedding With Adversarial Training Methods
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TriATNE: Tripartite Adversarial Training for Network Embeddings
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MPHINE-KT: Heterogeneous Information Network Embedding With Metapath Knowledge Tracing
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SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets
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Long-Short-Range Fused Network for Heterogeneous Graph Representation Learning
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mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations via Metagraph Embedding
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mSHINE: A Multiple-meta-paths Simultaneous Learning Framework for Heterogeneous Information Network Embedding
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Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark
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A Unified Generative Adversarial Learning Framework for Improvement of Skip-Gram Network Representation Learning Methods
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Neighbor-Anchoring Adversarial Graph Neural Networks
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Heterogeneous Information Network Embedding with Adversarial Disentangler
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A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
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Network Embedding with Dual Generation Tasks
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A Multi-Type Transferable Method for Missing Link Prediction in Heterogeneous Social Networks
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A Robust and Generalized Framework for Adversarial Graph Embedding
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Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network
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Directed Acyclic Graph Learning on Attributed Heterogeneous Network
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Heterogeneous Graph Contrastive Learning With Meta-Path Contexts and Adaptively Weighted Negative Samples
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L-BGNN: Layerwise Trained Bipartite Graph Neural Networks
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Autobalanced Multitask Node Embedding Framework for Intelligent Education
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3547463openalex-snapshot
Dual Consistency Constraint-Based Self-Supervised Representation Learning for Heterogeneous Graphs With Missing Attributes
inferred← citeshttps://doi.org/10.1109/tnse.2024.3445724openalex-snapshot
Coarse-to-Fine Robust Heterogeneous Network Representation Learning Without Metapath
inferred← citeshttps://doi.org/10.1109/tnse.2026.3733704openalex-snapshot
SIHAN: Semantic-Instance Guided Hypergraph Attention Network With Dual-View Contrastive Learning for Heterogeneous Graph
inferred← citeshttps://doi.org/10.1109/tpami.2024.3371473openalex-snapshot
Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications
inferred← citeshttps://doi.org/10.1109/tpami.2026.3655829openalex-snapshot
Enhance Before Fusion: Multi-View Graph Clustering With Graph Trend Filter
inferred← citeshttps://doi.org/10.1117/12.2639209openalex-snapshot
Position encoding for heterogeneous graph neural networks
inferred← citeshttps://doi.org/10.1137/1.9781611976700.55openalex-snapshot
Deep Multi-type Objects Muli-view Multi-instance Multi-label Learning
inferred← citeshttps://doi.org/10.1137/1.9781611977653.ch5openalex-snapshot
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples
inferred← citeshttps://doi.org/10.1140/epjb/s10051-024-00791-4openalex-snapshot
Heterogeneous hypergraph representation learning for link prediction
inferred← citeshttps://doi.org/10.1142/s0219622026500367openalex-snapshot
Hierarchical Cross-View Contrastive Learning for Heterogeneous Graph Neural Network
inferred← citeshttps://doi.org/10.1145/3340531.3411891openalex-snapshot
LRHNE: A Latent-Relation Enhanced Embedding Method for Heterogeneous Information Networks
inferred← citeshttps://doi.org/10.1145/3340531.3411944openalex-snapshot
Fast Attributed Multiplex Heterogeneous Network Embedding
inferred← citeshttps://doi.org/10.1145/3340531.3412135openalex-snapshot
Homogenization with Explicit Semantics Preservation for Heterogeneous Information Network
inferred← citeshttps://doi.org/10.1145/3340531.3412724openalex-snapshot
Loan Default Analysis with Multiplex Graph Learning
inferred← citeshttps://doi.org/10.1145/3366423.3380134openalex-snapshot
Deep Adversarial Completion for Sparse Heterogeneous Information Network Embedding
inferred← citeshttps://doi.org/10.1145/3366423.3380155openalex-snapshot
Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning
inferred← citeshttps://doi.org/10.1145/3394486.3403268openalex-snapshot
REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs
inferred← citeshttps://doi.org/10.1145/3427228.3427603openalex-snapshot
dStyle-GAN: Generative Adversarial Network based on Writing and Photography Styles for Drug Identification in Darknet Markets
inferred← citeshttps://doi.org/10.1145/3441450openalex-snapshot
Multi-View Collaborative Network Embedding
inferred← citeshttps://doi.org/10.1145/3442381.3449912openalex-snapshot
Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks
inferred← citeshttps://doi.org/10.1145/3447548.3467415openalex-snapshot
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
inferred← citeshttps://doi.org/10.1145/3447548.3467427openalex-snapshot
Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation
inferred← citeshttps://doi.org/10.1145/3447548.3470824openalex-snapshot
Graph Representation Learning
inferred← citeshttps://doi.org/10.1145/3459637.3482292openalex-snapshot
Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation
inferred← citeshttps://doi.org/10.1145/3463475openalex-snapshot
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
inferred← citeshttps://doi.org/10.1145/3487553.3524728openalex-snapshot
SchemaWalk: Schema Aware Random Walks for Heterogeneous Graph Embedding
inferred← citeshttps://doi.org/10.1145/3488560.3498385openalex-snapshot
Cluster-Aware Heterogeneous Information Network Embedding
inferred← citeshttps://doi.org/10.1145/3498851.3498926openalex-snapshot
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks
inferred← citeshttps://doi.org/10.1145/3511808.3557223openalex-snapshot
A Simple Meta-path-free Framework for Heterogeneous Network Embedding
inferred← citeshttps://doi.org/10.1145/3511808.3557486openalex-snapshot
Unsupervised Representation Learning on Attributed Multiplex Network
inferred← citeshttps://doi.org/10.1145/3528667openalex-snapshot
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-NRecommendation
inferred← citeshttps://doi.org/10.1145/3534678.3539482openalex-snapshot
Multiplex Heterogeneous Graph Convolutional Network
inferred← citeshttps://doi.org/10.1145/3543507.3583284openalex-snapshot
Link Prediction on Latent Heterogeneous Graphs
inferred← citeshttps://doi.org/10.1145/3564531openalex-snapshot
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1145/3570500openalex-snapshot
Modeling User Reviews through Bayesian Graph Attention Networks for Recommendation
inferred← citeshttps://doi.org/10.1145/3580305.3599441openalex-snapshot
Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling
inferred← citeshttps://doi.org/10.1145/3583780.3615117openalex-snapshot
Datasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks
inferred← citeshttps://doi.org/10.1145/3587716.3587746openalex-snapshot
Hyperbolic distance guided multi-positive graph contrastive learning
inferred← citeshttps://doi.org/10.1145/3589334.3645650openalex-snapshot
Diffusion-based Negative Sampling on Graphs for Link Prediction
inferred← citeshttps://doi.org/10.1145/3614099openalex-snapshot
Resisting the Edge-Type Disturbance for Link Prediction in Heterogeneous Networks
inferred← citeshttps://doi.org/10.1145/3616855.3635840openalex-snapshot
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction
inferred← citeshttps://doi.org/10.1145/3637528.3671716openalex-snapshot
Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering
inferred← citeshttps://doi.org/10.1145/3637528.3671719openalex-snapshot
Reserving-Masking-Reconstruction Model for Self-Supervised Heterogeneous Graph Representation
inferred← citeshttps://doi.org/10.1145/3640457.3688171openalex-snapshot
GLAMOR: Graph-based LAnguage MOdel embedding for citation Recommendation
inferred← citeshttps://doi.org/10.1145/3690624.3709251openalex-snapshot
Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes
inferred← citeshttps://doi.org/10.1145/3696410.3714722openalex-snapshot
Horizontal Federated Heterogeneous Graph Learning: A Multi-Scale Adaptive Solution to Data Distribution Challenges
inferred← citeshttps://doi.org/10.1145/3706115openalex-snapshot
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning
inferred← citeshttps://doi.org/10.1145/3710898openalex-snapshot
Improved paper recommendation model incorporating knowledge graph embedding with IRGAN model
inferred← citeshttps://doi.org/10.1145/3805037openalex-snapshot
Designated Masking Propagation Learning for Self-Supervised Heterogeneous Graph Representation
inferred← citeshttps://doi.org/10.1145/3833142.3833200openalex-snapshot
Efficient Multi-View Heterogeneous Graph Contrastive Learning with Metapath Context
inferred← citeshttps://doi.org/10.11606/t.55.2023.tde-25032024-112903openalex-snapshot
Heterogeneous Graphs for Text Representation: An Integrated Approach with Language Models
inferred← citeshttps://doi.org/10.1186/s13638-020-01782-6openalex-snapshot
An adversarial learning approach for discovering social relations in human-centered information networks
inferred← citeshttps://doi.org/10.1371/journal.pone.0280839openalex-snapshot
HetIG-PreDiG: A Heterogeneous Integrated Graph Model for Predicting Human Disease Genes based on gene expression
inferred← citeshttps://doi.org/10.14569/ijacsa.2024.0150402openalex-snapshot
Classification of Thoracic Abnormalities from Chest X-Ray Images with Deep Learning
inferred← citeshttps://doi.org/10.14778/3712221.3712226openalex-snapshot
MSGNN: Masked Schema based Graph Neural Networks
inferred← citeshttps://doi.org/10.15837/ijccc.2023.6.5890openalex-snapshot
Optimizing Heterogeneity in IoT Infra Using Federated Learning and Blockchain-based Security Strategies
inferred← citeshttps://doi.org/10.1609/aaai.v35i5.16600openalex-snapshot
Heterogeneous Graph Structure Learning for Graph Neural Networks
inferred← citeshttps://doi.org/10.1609/aaai.v35i5.16605openalex-snapshot
Adversarial Directed Graph Embedding
inferred← citeshttps://doi.org/10.1609/aaai.v36i4.20357openalex-snapshot
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks
inferred← citeshttps://doi.org/10.1609/aaai.v37i8.26192openalex-snapshot
Heterogeneous Graph Masked Autoencoders
inferred← citeshttps://doi.org/10.24963/ijcai.2020/190openalex-snapshot
Network Schema Preserving Heterogeneous Information Network Embedding
inferred← citeshttps://doi.org/10.24963/ijcai.2020/677openalex-snapshot
Heterogeneous Network Representation Learning
inferred← citeshttps://doi.org/10.26599/bdma.2023.9020037openalex-snapshot
Node and Edge Joint Embedding for Heterogeneous Information Network
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