A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection | Paper Citation Record

Observation 8cadfee0-ade7-4f09-a20c-eab74f2d964b · outbound

This paper cites Anomaly Detection in Dynamic Graphs via Transformer.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Anomaly Detection in Dynamic Graphs via Transformer

Reference 1

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Observation e40076df-8ef0-4ce3-ae08-b3588268bdf2 · outbound

This paper cites Cybersecurity knowledge graphs.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Cybersecurity knowledge graphs

Reference 2

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Observation d0971049-0c9b-4641-9bc7-0409af0afc2c · outbound

This paper cites The graph neural network model.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection The graph neural network model

Reference 3

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This paper cites Heterogeneous graph neural network.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Heterogeneous graph neural network

Reference 4

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This paper cites Survey of Graph Neural Network.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Survey of Graph Neural Network

Reference 5

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Observation b9cd2662-5371-4efe-b208-2f6b56e20159 · outbound

This paper cites Anomaly Detection in Graph Structured Data: A Survey.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Anomaly Detection in Graph Structured Data: A Survey

Reference 6

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Observation 47baca04-9804-40a4-9147-4dd7796ca7df · outbound

This paper cites A Comprehensive Survey on Graph Anomaly Detection With Deep Learning.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection A Comprehensive Survey on Graph Anomaly Detection With Deep Learning

Reference 7

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This paper cites A Comprehensive Survey on Graph Neural Networks.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection A Comprehensive Survey on Graph Neural Networks

Reference 8

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Observation e6a362cd-94c3-4286-b3bb-8cd39d8cb221 · outbound

This paper cites Semi‐supervised classification of fundus images combined with CNN and GCN.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Semi‐supervised classification of fundus images combined with CNN and GCN

Reference 9

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Observation baf89f88-e82e-442f-9685-5bd56e385c1c · outbound

This paper cites Heterogeneous graph attention network.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Heterogeneous graph attention network

Reference 10

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Observation f4160e0e-b038-4430-9259-ebcb36d09b72 · outbound

This paper cites SchemaWalk: Schema Aware Random Walks for Heterogeneous Graph Embedding.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection SchemaWalk: Schema Aware Random Walks for Heterogeneous Graph Embedding

Reference 12

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Observation 3cc363e0-2935-4ef9-b535-e08d93b99182 · outbound

This paper cites Temporal Graph Networks for Deep Learning on Dynamic Graphs.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 13

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Observation ebafb6d4-bb37-4a2e-b513-2faf73d06ca5 · outbound

This paper cites Learning under Concept Drift: A Review.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Learning under Concept Drift: A Review

Reference 14

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Observation 45b264c3-1b0c-4844-b13c-c4335fb923db · outbound

This paper cites Interactive Anomaly Detection on Attributed Networks.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Interactive Anomaly Detection on Attributed Networks

Reference 15

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Observation c0a362c5-3059-4ced-84de-d0ec1da63ab9 · outbound

This paper cites One-Class Intrusion Detection with Dynamic Graphs.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection One-Class Intrusion Detection with Dynamic Graphs

Reference 16

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Observation 25c5ec86-ae98-4430-8735-478ee04fa16c · outbound

This paper cites Deep anomaly detection on attributed networks.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Deep anomaly detection on attributed networks

Reference 17

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Observation 6172775e-40c9-4df6-aae0-77ca45694864 · outbound

This paper cites MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning

Reference 18

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Observation 3f4345ea-ad4f-4ec8-a22e-aa98afca05b8 · outbound

This paper cites Detection of Thin Boundaries between Different Types of Anomalies in Outlier Detection Using Enhanced Neural Networks.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Detection of Thin Boundaries between Different Types of Anomalies in Outlier Detection Using Enhanced Neural Networks

Reference 19

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Observation 2d2dc3f0-fc45-46d0-84fd-b3afecc137b3 · outbound

This paper cites Contextual anomaly detection framework for big sensor data.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Contextual anomaly detection framework for big sensor data

Reference 20

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Observation c45cd5f6-191a-4a49-8dc6-3de5b209d70f · outbound

This paper cites Fast flux discriminant for large-scale sparse nonlinear classification.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Fast flux discriminant for large-scale sparse nonlinear classification

Reference 21

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Observation 296ae63f-76cb-48a7-92a2-6f2752ce46db · outbound

This paper cites Bridging the Gap: A Pragmatic Approach to Generating Insider Threat Data.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Bridging the Gap: A Pragmatic Approach to Generating Insider Threat Data

Reference 22

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Observation 93391a3c-d5a0-4172-bbef-2c3860c25746 · outbound

This paper cites Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs

Reference 24

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Observation b51a3149-88ae-4015-879b-4a0338e6ce58 · outbound

This paper cites Modeling Relational Data with Graph Convolutional Networks.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Modeling Relational Data with Graph Convolutional Networks

Reference 25

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Observation 3443d059-0099-4a84-a627-d2a0ff8fc466 · outbound

This paper cites Unsupervised Deep Subgraph Anomaly Detection.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Unsupervised Deep Subgraph Anomaly Detection

Reference 26

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Observation e825c522-bcf4-4e0c-978b-4cef4549bc97 · outbound

This paper cites SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs

Reference 27

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Observation ff92c269-e694-4dfc-bb36-c7fccb98ee85 · outbound

This paper cites Structural-Temporal Coupling Anomaly Detection with Dynamic Graph Transformer.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Structural-Temporal Coupling Anomaly Detection with Dynamic Graph Transformer

Reference 28

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Observation 030cd767-f4aa-4544-9015-c5a3152f93ee · outbound

This paper cites Temporal subgraph contrastive learning for anomaly detection on dynamic attributed graphs.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Temporal subgraph contrastive learning for anomaly detection on dynamic attributed graphs

Reference 29

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Observation 77eacd7e-21f8-4c55-ace9-3012ee2ea666 · outbound

This paper cites Higher-order Structure Based Anomaly Detection on Attributed Networks.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Higher-order Structure Based Anomaly Detection on Attributed Networks

Reference 30

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Observation c191daa9-df12-4000-a879-b5d188ff91ad · outbound

This paper cites Hypergraph neural networks.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Hypergraph neural networks

Reference 31

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Observation 2d1d98e4-dddd-4083-90d9-ce6555226a3c · outbound

This paper cites PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection

Reference 32

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This paper cites an unresolved cited work.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Unresolved cited work

Reference 33

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Observation d709c3f1-e907-4ac0-a5f3-6642a19b6ba7 · outbound

This paper cites A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract).

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract)

Reference 34

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Observation 609d893c-c36c-4c5e-94de-2b6fff3c6eff · outbound

This paper cites Semi-supervised classification with graph convolutional networks.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Semi-supervised classification with graph convolutional networks

Reference 35

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Observation 8635ecf8-2c95-4cba-b470-f9388d7d89a5 · outbound

This paper cites Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection

Reference 36

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Observation 86944938-902a-42f5-b119-039ff8fba191 · outbound

This paper cites Graph Contrastive Learning for Anomaly Detection.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Graph Contrastive Learning for Anomaly Detection

Reference 37

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This paper cites Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

Reference 38

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This paper cites SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein–Protein Interaction Prediction.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein–Protein Interaction Prediction

Reference 39

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Observation ee74063f-4918-4781-b9c0-71cd09083104 · outbound

This paper cites Multiple Rumor Source Detection with Graph Convolutional Networks.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Multiple Rumor Source Detection with Graph Convolutional Networks

Reference 40

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Observation 911f8295-d530-4060-9ff0-ef3dbe5c0d36 · outbound

This paper cites Graph Neural Network-Based Anomaly Detection in Multivariate Time Series [Internet].

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Graph Neural Network-Based Anomaly Detection in Multivariate Time Series [Internet]

Reference 41

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Observation 3da7fa09-6cc2-4594-bc9d-c00620e855e4 · outbound

This paper cites One-Class Adversarial Nets for Fraud Detection.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection One-Class Adversarial Nets for Fraud Detection

Reference 42

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Observation 6c64f745-f43a-4bd6-b52b-3dae53a75f20 · outbound

This paper cites GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media

Reference 43

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Observation 42c8a3f9-4e4f-444e-a10b-1cccacfbce43 · outbound

This paper cites HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks

Reference 44

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Observation a013f20d-bdc4-4c3c-95ee-027b5912e8a4 · outbound

This paper cites XG-NID: Dual-modality network intrusion detection using a heterogeneous graph neural network and large language model.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection XG-NID: Dual-modality network intrusion detection using a heterogeneous graph neural network and large language model

Reference 45

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This paper cites SpotLight: Detecting anomalies in streaming graphs.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection SpotLight: Detecting anomalies in streaming graphs

Reference 46

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Observation e2b1b6cf-8497-4eba-8441-11d5ee3506c2 · outbound

This paper cites EdgeCentric: Anomaly Detection in Edge-Attributed Networks.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection EdgeCentric: Anomaly Detection in Edge-Attributed Networks

Reference 47

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Observation 3373b6f0-7462-4e89-927e-737fe2b141a1 · outbound

This paper cites xFraud: Explainable Fraud Transaction Detection.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection xFraud: Explainable Fraud Transaction Detection

Reference 48

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This paper cites Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graph.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graph

Reference 49

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Observation 0e7d4a78-7b4c-418c-87f2-9cfdda07b0b7 · outbound

This paper cites eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks

Reference 50

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Observation 925b3baf-70f2-46f4-bd3d-3f1333dce3ce · outbound

This paper cites AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN

Reference 51

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Observation ee29d1fa-352b-4fa0-8872-25ec15c2df72 · outbound

This paper cites A Flexible Attentive Temporal Graph Networks for Anomaly Detection in Dynamic Networks.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection A Flexible Attentive Temporal Graph Networks for Anomaly Detection in Dynamic Networks

Reference 52

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Observation 56702d9e-4a9e-45e2-9d4e-2e4e6b5250a3 · outbound

This paper cites Bi-GCN: Binary Graph Convolutional Network.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Bi-GCN: Binary Graph Convolutional Network

Reference 53

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Observation 7d2a4f03-513d-452b-ae2f-ae0c4ec593c9 · outbound

This paper cites Hierarchical Graph Convolutional Networks for Semi- supervised Node Classification.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Hierarchical Graph Convolutional Networks for Semi- supervised Node Classification

Reference 54

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Observation 6d2af29c-1c6a-409f-b3d2-7b8bd270befa · outbound

This paper cites Accelerated Attributed Network Embedding.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Accelerated Attributed Network Embedding

Reference 55

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Observation bddb686b-20c7-4b2e-92c8-9f1c59f6f5e8 · outbound

This paper cites CatchSync: Catching synchronized behavior in large directed graphs.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection CatchSync: Catching synchronized behavior in large directed graphs

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.073737Z

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Observation 7dff7111-4ca1-404c-ac49-10bb39761459 · outbound

This paper cites FRAUDAR: Bounding graph fraud in the face of camouflage.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection FRAUDAR: Bounding graph fraud in the face of camouflage

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.076854Z

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Observation 75f68c93-95a3-401c-aa56-6d98aa65f8a4 · outbound

This paper cites Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning

Reference 58

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Observation d8ecfe60-3faf-4d5e-93c9-52bade6a698f · outbound

This paper cites MHGNN: Multi-view fusion based Heterogeneous Graph Neural Network.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection MHGNN: Multi-view fusion based Heterogeneous Graph Neural Network

Reference 59

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Observation 5988c53a-7a57-4b01-9900-04c2fbff5dad · outbound

This paper cites Heterogeneous Graph Matching Networks for Unknown Malware Detection [Internet].

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Heterogeneous Graph Matching Networks for Unknown Malware Detection [Internet]

Reference 60

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Observation 64c4e869-5b76-49a2-bdfc-7ef78980227c · outbound

This paper cites HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors

Reference 61

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Observation 5d7b191b-265b-40a6-989c-8bd79fd117c0 · outbound

This paper cites Human-related anomalous event detection via spatial-temporal graph convolutional autoencoder with embedded long short-term memory network.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Human-related anomalous event detection via spatial-temporal graph convolutional autoencoder with embedded long short-term memory network

Reference 62

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Observation c0c39c8d-a54d-492b-bd75-7797df61852f · outbound

This paper cites Improving Cyberbullying Detection with User Interaction.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Improving Cyberbullying Detection with User Interaction

Reference 63

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Observation c05a5ab7-a3dc-4fa8-83bb-687286a4d498 · outbound

This paper cites OCGATL: One-Class Graph Attention Networks with Transformation Learning for Anomaly Detection for Argo Data.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection OCGATL: One-Class Graph Attention Networks with Transformation Learning for Anomaly Detection for Argo Data

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.098219Z

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Observation 2b327319-5084-4efc-b479-499a63538056 · outbound

This paper cites OCGNN: One-class Classification with Graph Neural Networks.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection OCGNN: One-class Classification with Graph Neural Networks

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.101425Z

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Observation 89ae6a00-c6f5-429b-a782-7f99ca9215c6 · outbound

This paper cites Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.104859Z

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Observation a1274436-a449-482f-917d-3b6e9383dfd8 · outbound

This paper cites GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.107673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6768dff-ba84-4323-bde1-16736ee8c085 · outbound

This paper cites Heterogeneous Graph Transformer.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Heterogeneous Graph Transformer

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.111069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3528f8f3-fee7-41e2-a9f9-c1815ec45f48 · outbound

This paper cites HOLMES: Real-Time APT Detection through Correlation of Suspicious Information Flows.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection HOLMES: Real-Time APT Detection through Correlation of Suspicious Information Flows

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.114264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5d5de3c-9121-40e2-8a15-26a9fa498ebd · outbound

This paper cites Generative adversarial networks.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Generative adversarial networks

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.117265Z

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Observation c7e3f246-c247-425c-9f99-209bd23db09a · outbound

This paper cites CERT Insider Threat Dataset [Internet].

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection CERT Insider Threat Dataset [Internet]

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.120048Z

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Observation 9d4a7501-793e-40e9-8ccc-b624ec74b248 · outbound

This paper cites Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.122906Z

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Observation 25727094-bf6d-4202-9932-63e18ad52a51 · outbound

This paper cites UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set).

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.126431Z

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Unavailable: canonical work link unavailable.

Observation ac0458e9-b88f-40a9-b1a5-0381ef751079 · outbound

This paper cites A detailed analysis of CICIDS2017 dataset for designing Intrusion Detection Systems.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection A detailed analysis of CICIDS2017 dataset for designing Intrusion Detection Systems

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.132114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18892a45-f1ad-4df5-b322-a902ff3cc3bf · outbound

This paper cites An empirical comparison of botnet detection methods.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection An empirical comparison of botnet detection methods

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.135040Z

Source-reported events for the cited work

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Observation b483b2ef-4439-44da-b8fd-2b50585ce067 · outbound

This paper cites Unicorn: Runtime Provenance-Based Detector for Advanced Persistent Threats.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Unicorn: Runtime Provenance-Based Detector for Advanced Persistent Threats

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.137894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 359f0e57-e95d-4cf8-beaf-f33a93408589 · outbound

This paper cites APT datasets and attack modeling for automated detection methods: A review.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection APT datasets and attack modeling for automated detection methods: A review

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.141028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bceb703-6b23-4bea-93e0-75b522940af8 · outbound

This paper cites Receiver Operating Characteristic (ROC) Curves: The Basics and Beyond.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Receiver Operating Characteristic (ROC) Curves: The Basics and Beyond

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.144225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d18c74d6-5b70-4fd8-84dc-deb06691d0b0 · outbound

This paper cites CHAD: Charlotte Anomaly Dataset.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection CHAD: Charlotte Anomaly Dataset

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.147294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11524040-1124-45c8-b69c-f16abee8db0a · outbound

This paper cites Collective Classification in Network Data.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Collective Classification in Network Data

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.150112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f41b991b-0956-4225-a86c-6cb4c9d150ba · outbound

This paper cites Graph Convolutional Matrix Completion [Internet].

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Graph Convolutional Matrix Completion [Internet]

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.153271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb588b8e-231f-4e1f-9273-dbb6ba7927b5 · outbound

This paper cites 2023 [cited 2025 Jun 12].

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection 2023 [cited 2025 Jun 12]

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.156248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68fdde22-3d0c-4196-b206-bb4e181cbf0e · outbound

This paper cites Authoritative sources in a hyperlinked environment.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Authoritative sources in a hyperlinked environment

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.159350Z

Source-reported events for the cited work

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Observation a72bc160-774a-4307-8977-f46544018c57 · outbound

This paper cites SedanSpot: Detecting Anomalies in Edge Streams.

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection SedanSpot: Detecting Anomalies in Edge Streams

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.162586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f9b0548-2a2c-42f3-af70-9a6a13553467 · outbound

This paper cites 2021 [cited 2025 Jun 12].

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection 2021 [cited 2025 Jun 12]

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.165821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7c4f0ec-d093-434f-9ff8-a477d0c4971b · outbound

This paper cites Open Graph Benchmark: Datasets for Machine Learning on Graphs Steering Committee [Internet].

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection Open Graph Benchmark: Datasets for Machine Learning on Graphs Steering Committee [Internet]

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-04T07:17:01.168689Z

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