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Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks

https://doi.org/10.1145/3219819.3220006
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What this work says

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

inferredcites →https://doi.org/10.1109/icdm.2014.85openalex-snapshot
Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks
inferredcites →https://doi.org/10.1109/icdm.2016.0111openalex-snapshot
Large-Scale Embedding Learning in Heterogeneous Event Data
inferredcites →https://doi.org/10.1109/tkde.2016.2598561openalex-snapshot
A survey of heterogeneous information network analysis
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/10.1145/1242572.1242667openalex-snapshot
Yago
inferredcites →https://doi.org/10.1145/1367497.1367722openalex-snapshot
Extraction and mining of an academic social network
inferredcites →https://doi.org/10.1145/1401890.1402008openalex-snapshot
ArnetMiner
inferredcites →https://doi.org/10.1145/1557019.1557107openalex-snapshot
Ranking-based clustering of heterogeneous information networks with star network schema
inferredcites →https://doi.org/10.1145/2481244.2481248openalex-snapshot
Mining heterogeneous information networks
inferredcites →https://doi.org/10.1145/2556195.2556259openalex-snapshot
Personalized entity recommendation
inferredcites →https://doi.org/10.1145/2623330.2623732openalex-snapshot
DeepWalk
inferredcites →https://doi.org/10.1145/2736277.2741093openalex-snapshot
LINE
inferredcites →https://doi.org/10.1145/2783258.2783296openalex-snapshot
Heterogeneous Network Embedding via Deep Architectures
inferredcites →https://doi.org/10.1145/2783258.2783307openalex-snapshot
PTE
inferredcites →https://doi.org/10.1145/2939672.2939751openalex-snapshot
Asymmetric Transitivity Preserving Graph Embedding
inferredcites →https://doi.org/10.1145/2939672.2939753openalex-snapshot
Structural Deep Network Embedding
inferredcites →https://doi.org/10.1145/2939672.2939754openalex-snapshot
node2vec
inferredcites →https://doi.org/10.1145/3018661.3018735openalex-snapshot
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification
inferredcites →https://doi.org/10.1145/3097983.3097990openalex-snapshot
PReP
inferredcites →https://doi.org/10.1145/3097983.3097996openalex-snapshot
Weisfeiler-Lehman Neural Machine for Link Prediction
inferredcites →https://doi.org/10.1145/3097983.3098027openalex-snapshot
TrioVecEvent
inferredcites →https://doi.org/10.1145/3097983.3098036openalex-snapshot
metapath2vec
inferredcites →https://doi.org/10.1145/3097983.3098061openalex-snapshot
struc2vec
inferredcites →https://doi.org/10.1145/3132847.3132873openalex-snapshot
Name Disambiguation in Anonymized Graphs using Network Embedding
inferredcites →https://doi.org/10.1145/3132847.3132953openalex-snapshot
HIN2Vec
inferredcites →https://doi.org/10.1145/3132847.3132959openalex-snapshot
Learning Edge Representations via Low-Rank Asymmetric Projections
inferredcites →https://doi.org/10.1145/3178876.3186114openalex-snapshot
On Exploring Semantic Meanings of Links for Embedding Social Networks
inferredcites →https://doi.org/10.14778/3402707.3402736openalex-snapshot
PathSim
inferredcites →https://doi.org/10.1609/aaai.v31i1.10486openalex-snapshot
Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding
inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-snapshot
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1603.05629openalex-snapshot
Discriminative Embeddings of Latent Variable Models for Structured Data
inferredcites →https://doi.org/10.48550/arxiv.1705.08039openalex-snapshot
Poincaré Embeddings for Learning Hierarchical Representations

What points at this work

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

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User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription
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Weighted Meta-Path Embedding Learning for Heterogeneous Information Networks
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Refining Node Embeddings via Semantic Proximity
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Multiple clusterings of heterogeneous information networks
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Heterogeneous graph embedding with single-level aggregation and infomax encoding
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Semantic-aware heterogeneous information network embedding with incompatible meta-paths
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Meta-path automatically extracted from heterogeneous information network for recommendation
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Outer product enhanced heterogeneous information network embedding for recommendation
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PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding
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Beyond meta-paths: ASHIN — A unified Algebraic Signature for Heterogeneous Information Networks
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Proximity-aware heterogeneous information network embedding
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Deep multiplex graph infomax: Attentive multiplex network embedding using global information
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Knowledge-enhanced recommendation using item embedding and path attention
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Heterogeneous dynamical academic network for learning scientific impact propagation
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HINChip: Heterogeneous Information Network Representation with Community Hierarchy Preserving
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DAHGN: Degree-Aware Heterogeneous Graph Neural Network
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Rich heterogeneous information preserving network representation learning
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A survey on heterogeneous network representation learning
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Recommendation Mechanism for Patent Trading Empowered by Heterogeneous Information Networks
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ADPE: Adaptive Dynamic Projected Embedding on Heterogeneous Information Networks
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MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks
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Health Insurance Anomaly Detection Based on Dynamic Heterogeneous Information Network
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JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation
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Textual Evidence Mining via Spherical Heterogeneous Information Network Embedding
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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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RL4HIN: Representation Learning for Heterogeneous Information Networks
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MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction
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Clustering via Meta-path Embedding for Heterogeneous Information Networks
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RUM: Network Representation Learning Using Motifs
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Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks
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Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks
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Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning
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WMPEClus: Clustering via Weighted Meta-Path Embedding for Heterogeneous Information Networks
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Biasing second-order random walk sampling for heterogeneous graph embedding *
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Graph Neural Network with Heterogeneous Attributes for Node Classification
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A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
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A Heterogeneous Graph Neural Network With Attribute Enhancement and Structure-Aware Attention
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Heterogeneous Graph Contrastive Learning With Metapath-Based Augmentations
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mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations via Metagraph Embedding
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Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity
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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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Auditing Network Embedding: An Edge Influence Based Approach
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Interpretable and Efficient Heterogeneous Graph Convolutional Network
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DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks
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Network Embedding with Dual Generation Tasks
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Heterogeneous Hypergraph Variational Autoencoder for Link Prediction
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Learning Node Representations via Sketching the Generative Process With Events Benefits Link Prediction on Heterogeneous Networks
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SHNE
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IntentGC
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Is a Single Vector Enough?
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Heterogeneous Graph Attention Network
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Representation learning for heterogeneous network with multiple link attributes
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An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation
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LRHNE: A Latent-Relation Enhanced Embedding Method for Heterogeneous Information Networks
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An Adaptive Embedding Framework for Heterogeneous Information Networks
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Bringing Order to Network Embedding
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Signed heterogeneous network embedding in social media
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Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity
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BHIN2vec
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Temporal Network Embedding with Micro- and Macro-dynamics
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Task-Guided Pair Embedding in Heterogeneous Network
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Discerning Edge Influence for Network Embedding
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HeteSpaceyWalk
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Task-Oriented Genetic Activation for Large-Scale Complex Heterogeneous Graph Embedding
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Collective Multi-type Entity Alignment Between Knowledge Graphs
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HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification
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Unsupervised Differentiable Multi-aspect Network Embedding
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Gemini: A Novel and Universal Heterogeneous Graph Information Fusing Framework for Online Recommendations
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Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation
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Attributed Collaboration Network Embedding for Academic Relationship Mining
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Heterogeneous Network Approach to Predict Individuals’ Mental Health
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Modeling Context Pair Interaction for Pairwise Tasks on Graphs
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Embedding Heterogeneous Information Network in Hyperbolic Spaces
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CFCR: A Convolution and Fusion Model for Cross-platform Recommendation
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A Simple Meta-path-free Framework for Heterogeneous Network Embedding
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HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer
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MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks
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Differentially Private Release of Heterogeneous Network for Managing Healthcare Data
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Tokenized Heterogeneous Graph Transformer with Enhanced Local and Global Representation Learning
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Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path
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Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching
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Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation
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ActiveHNE: Active Heterogeneous Network Embedding
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Network Embedding with Dual Generation Tasks
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Domain Adaptive Classification on Heterogeneous Information Networks
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ASIAM-HGNN: Automatic Selection and Interpretable Aggregation of Meta-Path Instances for Heterogeneous Graph Neural Network
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Graph representation learning
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Towards better urban intelligence: representation learning techniques for geospatial data analytics
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Advances in the Development of Representation Learning and Its Innovations against COVID-19
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Multi-View Learning-Based Fast Edge Embedding for Heterogeneous Graphs
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Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding
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Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation
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HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding
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Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks
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A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact
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Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
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Meta-Path-Free Representation Learning on Heterogeneous Networks
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Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning
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