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Paper Citation Record · LEDGER

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks

As of 18 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2501.02981.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.02981 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:03:56.964545Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

  • verified exact6
  • verified fuzzy3
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1591a1a8-0b43-4544-9f8f-43b8fa3a0487 · outbound

This paper cites https://mbernste.github.io/posts/gcn/.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks https://mbernste.github.io/posts/gcn/

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7fc69e7b-42ad-44a4-9194-998fb8ff59b8 · outbound

This paper cites Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms

Reference 6

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Observation 6dae9519-a343-4ba2-82a9-6b2ebaebdb30 · outbound

This paper cites Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance

Reference 8

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Observation 72aea397-20ee-48ed-b317-44b25c8fe96f · outbound

This paper cites IEEE Access 7, 99508–99520.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks IEEE Access 7, 99508–99520

Reference 11

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Observation 96f5c670-5abd-4ebd-960c-cafdaea90f5e · outbound

This paper cites 2020 IEEE Symposium on Security and Privacy (SP) , 1172–1189URL: https://api.semanticscholar.org/CorpusID:216263050.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks 2020 IEEE Symposium on Security and Privacy (SP) , 1172–1189URL: https://api.semanticscholar.org/CorpusID:216263050

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 74e44756-fb79-4144-8379-0c89af83aa34 · outbound

This paper cites FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 15

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Source-reported events for the cited work

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Observation 964b0cf9-1e81-43dc-bc54-4d73c143ca2d · outbound

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

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning

Reference 16

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Observation 778b0eb4-1e5d-43a3-9ab4-67ed8a7472dd · outbound

This paper cites FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System

Reference 17

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Observation e0082346-cfe9-4e7b-b7b9-37388f2155f4 · outbound

This paper cites an unresolved cited work.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6af3c100-6546-4c8a-bc41-619d9e8f18f2 · outbound

This paper cites Cluster Computing 22, 7347–7358.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Cluster Computing 22, 7347–7358

Reference 23

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 314b778d-99eb-47d1-8545-28373655b27e · outbound

This paper cites 2022 7th IEEE International Conference on Data Science in Cyberspace (DSC) , 498–505doi:10.1109/dsc55868.2022.00075.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks 2022 7th IEEE International Conference on Data Science in Cyberspace (DSC) , 498–505doi:10.1109/dsc55868.2022.00075

Reference 24

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Observation 8be1fbf0-b3c7-4df3-a124-abd853e72eb3 · outbound

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

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 25

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Observation b2cced7f-ecc3-4f62-bd9e-9164bf5a5bf0 · outbound

This paper cites Spatio-Temporal Graph Neural Networks: A Survey.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Spatio-Temporal Graph Neural Networks: A Survey

Reference 26

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Observation 561cb616-e098-4a1b-9fb2-23980884e73a · outbound

This paper cites IEEE Internet of Things Journal 7, 4641–4654.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks IEEE Internet of Things Journal 7, 4641–4654

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c99a0c82-8f91-45db-8b1f-60b067504318 · outbound

This paper cites an unresolved cited work.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0e47729b-ce68-4c7d-826b-99837ada86bf · outbound

This paper cites 2016 Picture Coding Symposium (PCS) , 1–5doi: 10.1109/PCS.2016.7906393.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks 2016 Picture Coding Symposium (PCS) , 1–5doi: 10.1109/PCS.2016.7906393

Reference 29

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e1eaa02e-844d-4163-861d-388806234e32 · outbound

This paper cites Wget Dataset.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Wget Dataset

Reference 30

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Observation f19424ec-f3c3-427f-a12e-7757832df59d · outbound

This paper cites an unresolved cited work.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Unresolved cited work

Reference 31

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Observation 41562b62-b88e-4d61-8528-9fdf2a5a77e6 · outbound

This paper cites Graph Attention Networks.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Graph Attention Networks

Reference 32

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Observation a2cb9764-34bc-44a1-a171-356bf7f36949 · outbound

This paper cites an unresolved cited work.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Unresolved cited work

Reference 33

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 67de2142-9ccc-44fa-8c8e-2a6be3b11654 · outbound

This paper cites 1894–1903.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks 1894–1903

Reference 34

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d513a8c4-48f9-48a3-8af2-ba464c012dcf · outbound

This paper cites How Powerful are Graph Neural Networks?.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks How Powerful are Graph Neural Networks?

Reference 35

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Observation dcd5e0db-ac85-4924-9610-dcf5976d7a5a · outbound

This paper cites Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

Reference 36

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Observation 020e1ae5-2560-4b92-95a5-b5b615c3c79c · outbound

This paper cites an unresolved cited work.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Unresolved cited work

Reference 37

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Observation 0fbaf692-ecb4-4602-8980-245992530bc6 · outbound

This paper cites Generative Poisoning Attack Method Against Neural Networks.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Generative Poisoning Attack Method Against Neural Networks

Reference 38

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Observation 9a931d35-88c4-45f3-b13f-53e96d25ddf3 · outbound

This paper cites an unresolved cited work.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Unresolved cited work

Reference 39

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1be6c404-8c0a-4cea-826b-66018944d2d8 · outbound

This paper cites an unresolved cited work.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Unresolved cited work

Reference 40

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ca74492b-c9bd-420c-a087-8381f98e0dec · outbound

This paper cites 2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE) , 493–497doi:10.1109/ICBAIE56435.2022.9985933.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks 2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE) , 493–497doi:10.1109/ICBAIE56435.2022.9985933

Reference 41

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5a6fc0fb-30dc-4ff9-ae8a-b0e95d6b443f · outbound

This paper cites an unresolved cited work.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Unresolved cited work

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 64760957-6e54-4e48-8df6-8559b60cc1cf · outbound

This paper cites IEEE Transactions on Information Forensics and Security 16, 3312–3325.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks IEEE Transactions on Information Forensics and Security 16, 3312–3325

Reference 43

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d1d6f56e-874c-4cec-b634-5b3cc97f2be3 · outbound

This paper cites an unresolved cited work.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Unresolved cited work

Reference 44

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 800ea0c7-e237-408e-b79e-4b3d61f73b15 · outbound

This paper cites Future Gener.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Future Gener

Reference 45

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8a94c2b3-72d0-434a-8a5e-b9b8bf88c333 · outbound

This paper cites Bilot, T., El Madhoun, N., Al Agha, K., Zouaoui, A.,.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Bilot, T., El Madhoun, N., Al Agha, K., Zouaoui, A.,

Reference 96

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4a16d382-0568-4d2c-a8ef-5dc93ab29b35 · outbound

This paper cites an unresolved cited work.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Unresolved cited work

Reference 2007

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f713f199-0595-4408-a1a7-fc96950d1510 · outbound

This paper cites an unresolved cited work.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Unresolved cited work

Reference 2010

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unresolved
raw_fallback, observed 2026-08-10T22:03:57.811101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6f7d41a3-b6bd-4832-b43e-f27efa34a7e9 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 2014

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8646a8a0-8ed4-4021-8626-e7b90a6bc4f9 · outbound

This paper cites Gated Graph Sequence Neural Networks.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Gated Graph Sequence Neural Networks

Reference 2015

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Observation 00e1df0b-0d6a-4bc1-a45d-503f4a1a897b · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 2016

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Source-reported events for the cited work

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This paper cites International Journal of Hybrid Information Technology 10, 1–10.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks International Journal of Hybrid Information Technology 10, 1–10

Reference 2017

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 95eba03e-063b-4e1a-b5da-39b140607419 · outbound

This paper cites IEEE Transactions on Signal Processing 67, 97–109.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks IEEE Transactions on Signal Processing 67, 97–109

Reference 2018

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Source-reported events for the cited work

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Observation 5a59e8a3-b7c5-41ce-97c6-35b41a1c4444 · outbound

This paper cites an unresolved cited work.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Unresolved cited work

Reference 2019

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unresolved
raw_fallback, observed 2026-08-10T22:03:57.818049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7e380d65-5964-4270-b7b5-d58ce0c9c275 · outbound

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

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats

Reference 2020

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 463412b2-7b74-4342-9532-a0420a529075 · outbound

This paper cites TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption

Reference 2021

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6d7e78e2-d79f-42df-a504-5b6f79f5e9e0 · outbound

This paper cites 2022 IEEE 18th International Conference on e-Science (e-Science) , 433–434doi:10.1109/eScience55777.2022.00074.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks 2022 IEEE 18th International Conference on e-Science (e-Science) , 433–434doi:10.1109/eScience55777.2022.00074

Reference 2022

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ed89ebed-28a3-4f26-9ab6-9dfcfbb584e2 · outbound

This paper cites European Journal of Science and Technology doi:10.31590/ejosat.1265586.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks European Journal of Science and Technology doi:10.31590/ejosat.1265586

Reference 2023

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.