GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection | Paper Citation Record

Observation f27087d9-8828-4b3f-8de8-607164182a74 · outbound

This paper cites Semiparallel service systems in cpss: Theory and application,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Semiparallel service systems in cpss: Theory and application,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.937494Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 03feb532-64aa-4cbb-98e0-c71cc6b277d4 · outbound

This paper cites Cyber-physical-social systems: The state of the art and perspectives,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Cyber-physical-social systems: The state of the art and perspectives,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.923070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4d8be800-993a-4e48-b530-da6ff04955a5 · outbound

This paper cites Beeinfo: Interest-based forwarding using artificial bee colony for socially aware networking,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Beeinfo: Interest-based forwarding using artificial bee colony for socially aware networking,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.909308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a020f8b0-4d24-4fad-9bff-be5b043198f6 · outbound

This paper cites Cyber-physical-social systems: A state-of-the-art survey, challenges and opportunities,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Cyber-physical-social systems: A state-of-the-art survey, challenges and opportunities,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.895941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cdaabd33-b9ae-45f0-bfa1-339283bc796c · outbound

This paper cites Safety challenges and solutions in mobile social networks,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Safety challenges and solutions in mobile social networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.880828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fecffb7b-082b-473d-8ce2-99cc1ad31e19 · outbound

This paper cites Malicious control system cyber security attack case study–maroochy water services, australia,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Malicious control system cyber security attack case study–maroochy water services, australia,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.864785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 22ce7209-69fb-492e-bfb3-8cfff461888a · outbound

This paper cites A survey on advanced persistent threats: Techniques, solutions, challenges, and research opportunities,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection A survey on advanced persistent threats: Techniques, solutions, challenges, and research opportunities,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:22.034950Z

Source-reported events for the cited work

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Observation 4eba4106-0a50-4e58-9bd5-aff189f4416f · outbound

This paper cites Ukraine cyber- induced power outage: Analysis and practical mitigation strategies,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Ukraine cyber- induced power outage: Analysis and practical mitigation strategies,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.840419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 74c24eeb-f7ae-4863-9687-5be06c601243 · outbound

This paper cites Detecting the cyber-physical-social cooperated apts in high-der-penetrated smart grids: Threats, current work and challenges,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Detecting the cyber-physical-social cooperated apts in high-der-penetrated smart grids: Threats, current work and challenges,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.827269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 943601f4-acf9-40a6-b639-5b5a1bad63e0 · outbound

This paper cites Sok: History is a vast early warning system: Auditing the provenance of system intrusions,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Sok: History is a vast early warning system: Auditing the provenance of system intrusions,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.814216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3eb188fa-30d7-457e-bdeb-93f4e96f66a1 · outbound

This paper cites Graph lifelong learning: A survey,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Graph lifelong learning: A survey,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.800379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6f61fb87-167a-4cd3-95cb-370350870aee · outbound

This paper cites Darpa engagement 3.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Darpa engagement 3

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.786271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cf123f30-11e9-42fe-b271-583cd7fd4f91 · outbound

This paper cites Unicorn: Runtime provenance-based detector for advanced persistent threats,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Unicorn: Runtime provenance-based detector for advanced persistent threats,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:22.067818Z

Source-reported events for the cited work

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Observation d88b2f65-e1d7-4b5a-95d8-570151f60442 · outbound

This paper cites {ATLAS}: A sequence-based learning approach for attack investigation,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection {ATLAS}: A sequence-based learning approach for attack investigation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.766140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 40c5a604-261d-4e65-9b42-92ec6de8d955 · outbound

This paper cites Holmes: real-time apt detection through correlation of suspicious information flows,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Holmes: real-time apt detection through correlation of suspicious information flows,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.752955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 22055646-c0e3-4b58-956d-99072701e2ac · outbound

This paper cites Towards a timely causality analysis for enterprise security.,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Towards a timely causality analysis for enterprise security.,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.738328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6fe0a95d-2378-4c01-b1c8-204fbc2f5697 · outbound

This paper cites Combating dependence ex- plosion in forensic analysis using alternative tag propagation semantics,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Combating dependence ex- plosion in forensic analysis using alternative tag propagation semantics,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.725156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0a6c13a4-df59-450f-8504-b9bde0452b63 · outbound

This paper cites Back-propagating system dependency impact for attack investigation,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Back-propagating system dependency impact for attack investigation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.711340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a2fc6b65-d42d-4c05-91bc-28f6bff0fd1c · outbound

This paper cites Nodemerge: Template based efficient data reduction for big-data causality analysis,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Nodemerge: Template based efficient data reduction for big-data causality analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.697805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d7f7b4e8-5069-47b1-8a4c-c72a5b1b09d0 · outbound

This paper cites High fidelity data reduction for big data security dependency analyses,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection High fidelity data reduction for big data security dependency analyses,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.681871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9ea366a4-aa7a-4b17-a179-9e0fe00258cd · outbound

This paper cites Dependence- preserving data compaction for scalable forensic analysis,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Dependence- preserving data compaction for scalable forensic analysis,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.667463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cb80ca0a-89d4-4850-90e5-3c6fc3609d20 · outbound

This paper cites Advanced persistent threats (apt): evolution, anatomy, attribution and countermea- sures,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Advanced persistent threats (apt): evolution, anatomy, attribution and countermea- sures,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.654442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5368696a-aa96-4cf2-8968-703bf7f9e4d5 · outbound

This paper cites Early detection of the advanced persistent threat attack using performance analysis of deep learning,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Early detection of the advanced persistent threat attack using performance analysis of deep learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.642008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 64040390-0a76-446a-ab44-f9e5f748faba · outbound

This paper cites Harnessing machine learning for advanced threat detection in cybersecurity,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Harnessing machine learning for advanced threat detection in cybersecurity,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.628615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation da8d4966-8f41-4a09-98d0-def5750719f7 · outbound

This paper cites MAGIC: Detecting advanced persistent threats via masked graph representation learning,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection MAGIC: Detecting advanced persistent threats via masked graph representation learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.615683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5ec728c6-bfa9-451c-9cdf-9b8ac4ba29a6 · outbound

This paper cites Raptor: advanced persistent threat detection in industrial iot via attack stage correlation,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Raptor: advanced persistent threat detection in industrial iot via attack stage correlation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.601481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e8959c4-193b-45cf-8ae5-f49981842df2 · outbound

This paper cites Flash: A comprehensive approach to intrusion detection via provenance graph representation learning,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Flash: A comprehensive approach to intrusion detection via provenance graph representation learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.588682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 05d3e506-9682-459a-b558-6d4f36e1bdc8 · outbound

This paper cites Efficient estimation of word representations in vector space,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Efficient estimation of word representations in vector space,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.573685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4086e10a-0506-44ca-8a9f-1205c4249c72 · outbound

This paper cites Kairos: Practical intrusion detection and investigation using whole- system provenance,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Kairos: Practical intrusion detection and investigation using whole- system provenance,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.559643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 69ea131d-e1fe-4eab-83f4-5c0c5db986a9 · outbound

This paper cites Graph condensation for graph neural networks,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Graph condensation for graph neural networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.546026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 77f6318b-1cf5-4b59-91f1-87fd4a3c3f63 · outbound

This paper cites Graph Condensation via Receptive Field Distribution Matching.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Graph Condensation via Receptive Field Distribution Matching

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:22.167382Z

Source-reported events for the cited work

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Observation 0e8b6f3f-945b-4999-b77e-646f1e0e03c2 · outbound

This paper cites Knowledge distillation: A survey,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Knowledge distillation: A survey,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:22.172813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f60f9f98-09d8-4d33-a199-6f5e60e2fafd · outbound

This paper cites One-for-all: Bridge the gap between heterogeneous architectures in knowledge distillation,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection One-for-all: Bridge the gap between heterogeneous architectures in knowledge distillation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.525675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0db4b0da-7ed9-498e-a608-a28795fb76eb · outbound

This paper cites Fair graph distillation,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Fair graph distillation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.511807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0a51b899-70ca-4ba1-bf0d-463fdc7ba283 · outbound

This paper cites Dgsd: Dynamical graph self-distillation for eeg-based auditory spatial attention detection,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Dgsd: Dynamical graph self-distillation for eeg-based auditory spatial attention detection,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.499162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bbfe017f-d531-4088-8b2a-187d4530ebb4 · outbound

This paper cites Graph learning: A survey,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Graph learning: A survey,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:22.193110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1333643b-3912-4c13-bd3e-2433e34f9e9f · outbound

This paper cites Ac- celerating molecular graph neural networks via knowledge distillation,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Ac- celerating molecular graph neural networks via knowledge distillation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.477970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ba5b931a-8691-47e0-8e74-ed3d3c9f0ba0 · outbound

This paper cites Does graph distillation see like vision dataset counterpart?,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Does graph distillation see like vision dataset counterpart?,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.464427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e1485c28-69ec-4fbd-a293-853234360728 · outbound

This paper cites Reconstructed graph neural network with knowledge distillation for lightweight anomaly detection,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Reconstructed graph neural network with knowledge distillation for lightweight anomaly detection,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.451029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5ce815ea-c417-4500-a613-450d9789d257 · outbound

This paper cites Threat detection and investigation with system-level provenance graphs: A survey,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Threat detection and investigation with system-level provenance graphs: A survey,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.436870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d946fcfb-f9b9-4c9e-a9c9-e9e0a7b8eba8 · outbound

This paper cites Provenance-based in- trusion detection systems: A survey,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Provenance-based in- trusion detection systems: A survey,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.423504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4936e0e8-ec79-4999-9064-47064a6b34cd · outbound

This paper cites A comprehensive survey of dataset distillation,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection A comprehensive survey of dataset distillation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.410737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b7b87a77-2aee-471c-8022-8e64f7207ca5 · outbound

This paper cites Omegalog: High-fidelity attack investigation via transparent multi-layer log anal- ysis,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Omegalog: High-fidelity attack investigation via transparent multi-layer log anal- ysis,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.396909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e95fd75d-73e5-44ec-8deb-0e102c33c359 · outbound

This paper cites Watson: Abstracting behaviors from audit logs via aggregation of contextual semantics.,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Watson: Abstracting behaviors from audit logs via aggregation of contextual semantics.,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.382998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5ceaf93d-47e1-49f0-b4fc-e0542ddf7679 · outbound

This paper cites Attention is all you need,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Attention is all you need,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:22.240468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aabe2eee-caa1-4b0e-9167-9c5a7ea9f007 · outbound

This paper cites Active learning for convolutional neural networks: A core-set approach,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Active learning for convolutional neural networks: A core-set approach,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.362027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d0dbf45c-9e59-434e-a622-486b4b86264e · outbound

This paper cites Herding dynamical weights to learn,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Herding dynamical weights to learn,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.348372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 11bf7d9a-9fea-4790-b172-a3349f11fab5 · outbound

This paper cites Graph condensation benchmark (gc-bench).

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Graph condensation benchmark (gc-bench)

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.333789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf947be5-64ee-45a3-aa00-d0ca9a2bc82e · outbound

This paper cites Threatrace: Detecting and tracing host-based threats in node level through provenance graph learning,.

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection Threatrace: Detecting and tracing host-based threats in node level through provenance graph learning,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:22.318202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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