Paper Citation Record · LEDGER

Efficient Dynamic Attributed Graph Generation

As of 15 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 2 inbound Pith citation observations for arXiv:2412.08810.

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

pith.paper-citation-record.v1
2412.08810 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:38:40.631098Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:08:00.242603Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:08:49.966193Z

Reference resolution

69 of 69 outbound references displayed

verified exact0
verified fuzzy64
unresolved5
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c4e4121e-21e8-466b-b271-30e02c28cdb3 · outbound

This paper cites https://github.com/Coco-Hut/VRDAG.

Efficient Dynamic Attributed Graph Generation https://github.com/Coco-Hut/VRDAG

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:43.672842Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cd15baad-3d81-46fc-84fa-3105a0869f7d · outbound

This paper cites Mixed membership stochastic blockmodels.

Efficient Dynamic Attributed Graph Generation Mixed membership stochastic blockmodels

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:43.657738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f1a2febd-5d91-4014-97d3-1fdb826bb1d9 · outbound

This paper cites Statistical mechanics of complex networks.

Efficient Dynamic Attributed Graph Generation Statistical mechanics of complex networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:43.642645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 56e866d2-9cda-44fd-8923-37816958e5e0 · outbound

This paper cites Data generation using declarative constraints.

Efficient Dynamic Attributed Graph Generation Data generation using declarative constraints

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:43.527697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 73a4ccb2-165b-476c-a33f-b3a0a707360b · outbound

This paper cites Netgan: Generating graphs via random walks.

Efficient Dynamic Attributed Graph Generation Netgan: Generating graphs via random walks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:43.393346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cbb98305-94cb-4a0d-8ff2-b3718c4dcf29 · outbound

This paper cites Efficient top-k vulnerable nodes detection in uncertain graphs.

Efficient Dynamic Attributed Graph Generation Efficient top-k vulnerable nodes detection in uncertain graphs

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:43.376687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 173a1d98-f253-4fd0-ae08-3551023abb08 · outbound

This paper cites Graph neural network for fraud detection via spatial-temporal attention.

Efficient Dynamic Attributed Graph Generation Graph neural network for fraud detection via spatial-temporal attention

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:43.292232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c79bbd82-37b6-4697-860a-c2c9a14bc014 · outbound

This paper cites One trillion edges: Graph processing at facebook-scale.

Efficient Dynamic Attributed Graph Generation One trillion edges: Graph processing at facebook-scale

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:43.029483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 531a63d9-bb72-4438-a4b8-42f6a18b028b · outbound

This paper cites Synthesizing linked data under cardinality and integrity constraints.

Efficient Dynamic Attributed Graph Generation Synthesizing linked data under cardinality and integrity constraints

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.947327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4f52f8c6-3f05-42fc-90e8-af730055ec9e · outbound

This paper cites Graphite: Iterative generative modeling of graphs.

Efficient Dynamic Attributed Graph Generation Graphite: Iterative generative modeling of graphs

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.930994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f1e079cf-63dd-4f0c-a3cf-93ef0e4fcc3b · outbound

This paper cites Tigger: Scalable generative modelling for temporal interaction graphs.

Efficient Dynamic Attributed Graph Generation Tigger: Scalable generative modelling for temporal interaction graphs

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.910025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9f512b45-a432-4d98-ad3e-a586c8fb5d13 · outbound

This paper cites Roll: Fast in-memory generation of gigantic scale-free networks.

Efficient Dynamic Attributed Graph Generation Roll: Fast in-memory generation of gigantic scale-free networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.887662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 61d11d6d-9d6e-47b9-af1d-2ed4d4465976 · outbound

This paper cites Approximating the kullback leibler divergence between gaussian mixture models.

Efficient Dynamic Attributed Graph Generation Approximating the kullback leibler divergence between gaussian mixture models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.665228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 65ee5b00-f456-45cf-9c77-7d92e31e2641 · outbound

This paper cites Epidemiologically optimal static networks from temporal network data.

Efficient Dynamic Attributed Graph Generation Epidemiologically optimal static networks from temporal network data

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.535511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5164aa78-2567-4883-a10a-99c64036c8e9 · outbound

This paper cites Graphmae: Self-supervised masked graph autoencoders.

Efficient Dynamic Attributed Graph Generation Graphmae: Self-supervised masked graph autoencoders

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.521583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d5814c47-a2b4-4ff3-8a52-3d6d0bc82a41 · outbound

This paper cites Stochastic blockmodels and community structure in networks.

Efficient Dynamic Attributed Graph Generation Stochastic blockmodels and community structure in networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.507332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c38f27a4-b5fa-40a8-9ddc-faf119768f85 · outbound

This paper cites Time2Vec: Learning a Vector Representation of Time.

Efficient Dynamic Attributed Graph Generation Time2Vec: Learning a Vector Representation of Time

Reference 17

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Source-reported events for the cited work

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Observation 16e8b267-7753-45d4-9b6f-03ac6c41ed1e · outbound

This paper cites Auto-Encoding Variational Bayes.

Efficient Dynamic Attributed Graph Generation Auto-Encoding Variational Bayes

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T17:38:39.816406Z

Source-reported events for the cited work

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Observation a2237cfd-b0cc-4c12-9218-d339705ef308 · outbound

This paper cites Variational Graph Auto-Encoders.

Efficient Dynamic Attributed Graph Generation Variational Graph Auto-Encoders

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T17:38:39.838266Z

Source-reported events for the cited work

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Observation 07af3d29-e0bd-4ce4-b9d8-f9d979567c45 · outbound

This paper cites Flowgen: A generative model for flow graphs.

Efficient Dynamic Attributed Graph Generation Flowgen: A generative model for flow graphs

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.493084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 24b45ded-26eb-4191-b0a2-b42d5a8a9e9d · outbound

This paper cites A scalable generative graph model with community structure.

Efficient Dynamic Attributed Graph Generation A scalable generative graph model with community structure

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.478547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c4433e44-28db-4824-b697-5ec78dcb6149 · outbound

This paper cites Edge weight prediction in weighted signed networks.

Efficient Dynamic Attributed Graph Generation Edge weight prediction in weighted signed networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.463284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f7080eb0-0b97-454f-823f-f3b5a2fd0cb3 · outbound

This paper cites Generating attributed networks with communities.

Efficient Dynamic Attributed Graph Generation Generating attributed networks with communities

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.448127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 36b14875-f974-472b-b688-7dc385aa198d · outbound

This paper cites Kronecker graphs: an approach to modeling networks.

Efficient Dynamic Attributed Graph Generation Kronecker graphs: an approach to modeling networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.390146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cca7ead1-6e66-4e1a-b166-e29de6ba9104 · outbound

This paper cites Predicting positive and negative links in online social networks.

Efficient Dynamic Attributed Graph Generation Predicting positive and negative links in online social networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.344745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b2aae6da-1c8e-4d08-810e-552a180c764e · outbound

This paper cites Adarisk: Risk- adaptive deep reinforcement learning for vulnerable nodes detection.

Efficient Dynamic Attributed Graph Generation Adarisk: Risk- adaptive deep reinforcement learning for vulnerable nodes detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.297679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eaa0d382-8986-409c-9843-5125c80824c6 · outbound

This paper cites Attributed network embedding for learning in a dynamic environment.

Efficient Dynamic Attributed Graph Generation Attributed network embedding for learning in a dynamic environment

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.282255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1115f9ac-8140-42b0-bc9e-c41f6a18d051 · outbound

This paper cites Ba-gnn: Behavior-aware graph neural network for session-based recommendation.

Efficient Dynamic Attributed Graph Generation Ba-gnn: Behavior-aware graph neural network for session-based recommendation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.267438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fc22ca94-4982-4be0-a905-93784a286172 · outbound

This paper cites Efficient graph generation with graph recurrent attention networks.

Efficient Dynamic Attributed Graph Generation Efficient graph generation with graph recurrent attention networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.252483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 675941dd-9a8f-4b46-8fee-d3ec8858f00a · outbound

This paper cites Generating private synthetic databases for untrusted system evaluation.

Efficient Dynamic Attributed Graph Generation Generating private synthetic databases for untrusted system evaluation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.237194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1a68e16e-23a3-410f-8a0d-141494ef5f85 · outbound

This paper cites Constrained generation of semantically valid graphs via regularizing variational autoencoders.

Efficient Dynamic Attributed Graph Generation Constrained generation of semantically valid graphs via regularizing variational autoencoders

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.222173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 89aa5b93-c639-470b-9e89-3c4b20fc99a3 · outbound

This paper cites Gencat: Generating attributed graphs with controlled relationships between classes, attributes, and topology.

Efficient Dynamic Attributed Graph Generation Gencat: Generating attributed graphs with controlled relationships between classes, attributes, and topology

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.205613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 90b86b25-d177-4055-b7c7-d10587e390b6 · outbound

This paper cites An introduction to temporal graphs: An algorithmic perspective.

Efficient Dynamic Attributed Graph Generation An introduction to temporal graphs: An algorithmic perspective

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:42.066894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 47c1ffb8-53f4-4044-8157-21973a9186d1 · outbound

This paper cites Finding and evaluating community structure in networks.

Efficient Dynamic Attributed Graph Generation Finding and evaluating community structure in networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.924674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62f1e96e-cf6c-4ec6-be43-6c5e799979b0 · outbound

This paper cites Trilliong: A trillion-scale synthetic graph generator using a recursive vector model.

Efficient Dynamic Attributed Graph Generation Trilliong: A trillion-scale synthetic graph generator using a recursive vector model

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.910017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2e5a1cdd-4a0e-462e-8640-b7618d7192b2 · outbound

This paper cites Symmetric graph convolutional autoencoder for unsupervised graph representation learning.

Efficient Dynamic Attributed Graph Generation Symmetric graph convolutional autoencoder for unsupervised graph representation learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.894667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d33aeb99-a190-49a5-ab21-3dba0a5eb0d3 · outbound

This paper cites Deepwalk: Online learning of social representations.

Efficient Dynamic Attributed Graph Generation Deepwalk: Online learning of social representations

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.879464Z

Source-reported events for the cited work

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Observation f5c04a29-136a-40ac-869c-e6a75e0c141d · outbound

This paper cites Activity driven modeling of time varying networks.

Efficient Dynamic Attributed Graph Generation Activity driven modeling of time varying networks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.864293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 722a5248-0aab-48b0-8ac8-81631f943d41 · outbound

This paper cites Attributed graph models: Modeling network structure with correlated attributes.

Efficient Dynamic Attributed Graph Generation Attributed graph models: Modeling network structure with correlated attributes

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.848585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e82303d8-6b5b-4f1d-a522-37452a77ddd8 · outbound

This paper cites Just can’t get enough: Synthesizing big data.

Efficient Dynamic Attributed Graph Generation Just can’t get enough: Synthesizing big data

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.833149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e06e6078-4800-4cfb-9f96-f83d63343721 · outbound

This paper cites An intro- duction to exponential random graph (p*) models for social networks.

Efficient Dynamic Attributed Graph Generation An intro- duction to exponential random graph (p*) models for social networks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.818360Z

Source-reported events for the cited work

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Observation adf04aa3-3954-43e7-b174-4c17c441d30e · outbound

This paper cites Bursts of vertex activation and epidemics in evolving networks.

Efficient Dynamic Attributed Graph Generation Bursts of vertex activation and epidemics in evolving networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.760317Z

Source-reported events for the cited work

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Observation 5e8eaa2f-4596-4242-8f06-22fc005278ea · outbound

This paper cites Rossi and Nesreen K.

Efficient Dynamic Attributed Graph Generation Rossi and Nesreen K

Reference 43

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Source-reported events for the cited work

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Observation 27c7b1e5-3f5f-4266-9f40-10a33b20d677 · outbound

This paper cites Projection- compliant database generation.

Efficient Dynamic Attributed Graph Generation Projection- compliant database generation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.570238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 243ef037-f264-42b1-9422-6a20f238ecfe · outbound

This paper cites Synthetic data generation for enterprise dbms.

Efficient Dynamic Attributed Graph Generation Synthetic data generation for enterprise dbms

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.555724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dbd6314c-dcb9-49ba-b14d-8e3d5271acdb · outbound

This paper cites Hydra: a dynamic big data regenerator.

Efficient Dynamic Attributed Graph Generation Hydra: a dynamic big data regenerator

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.541926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 065bf9c1-7855-4907-9b22-3a6cb39e141a · outbound

This paper cites Sweg: Lossless and lossy summarization of web-scale graphs.

Efficient Dynamic Attributed Graph Generation Sweg: Lossless and lossy summarization of web-scale graphs

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.526344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9d20b802-4601-42fe-bc84-668a2f3df576 · outbound

This paper cites Data generation for application-specific benchmarking.

Efficient Dynamic Attributed Graph Generation Data generation for application-specific benchmarking

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.511702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f35bc0f1-aaed-4867-91a3-a5339eaf1adc · outbound

This paper cites Upsizer: Synthetically scaling an empirical relational database.

Efficient Dynamic Attributed Graph Generation Upsizer: Synthetically scaling an empirical relational database

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.497210Z

Source-reported events for the cited work

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Observation 7fa1be15-9845-44e8-aaf8-dc49e3df64d1 · outbound

This paper cites Graph attention networks.

Efficient Dynamic Attributed Graph Generation Graph attention networks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.482327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c85ac10d-2a46-4d33-984a-918ab3862e3e · outbound

This paper cites How mem- ory generates heterogeneous dynamics in temporal networks.

Efficient Dynamic Attributed Graph Generation How mem- ory generates heterogeneous dynamics in temporal networks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.467426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6f0e3355-890a-47ae-a2ef-207809da8177 · outbound

This paper cites Fastsgg: Efficient social graph generation using a degree distribution generation model.

Efficient Dynamic Attributed Graph Generation Fastsgg: Efficient social graph generation using a degree distribution generation model

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.453226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fc53befa-903f-46d5-9814-e7ec4812e787 · outbound

This paper cites Tube: Embedding behavior outcomes for predicting success.

Efficient Dynamic Attributed Graph Generation Tube: Embedding behavior outcomes for predicting success

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.275845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a06641e7-dee9-4b9b-9603-75d8828f2f19 · outbound

This paper cites Modeling co-evolution of attributed and structural information in graph sequence.

Efficient Dynamic Attributed Graph Generation Modeling co-evolution of attributed and structural information in graph sequence

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.219737Z

Source-reported events for the cited work

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Observation b316b2d7-6b68-46bd-a502-2f2d4475ee48 · outbound

This paper cites Efficient influence minimization via node blocking.

Efficient Dynamic Attributed Graph Generation Efficient influence minimization via node blocking

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.205730Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 52b5430d-3fed-4b1b-95c6-919f0ad8fe0d · outbound

This paper cites Collective dynamics of ‘small- world’networks.

Efficient Dynamic Attributed Graph Generation Collective dynamics of ‘small- world’networks

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.191956Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 60a7544a-5669-4228-8786-128fc2d74473 · outbound

This paper cites Efficient maximal frequent group enumeration in temporal bipartite graphs.

Efficient Dynamic Attributed Graph Generation Efficient maximal frequent group enumeration in temporal bipartite graphs

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.178069Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cb60d3a1-0905-4dd2-8e78-c0531c2d54a9 · outbound

This paper cites Efficient learning-based community-preserving graph generation.

Efficient Dynamic Attributed Graph Generation Efficient learning-based community-preserving graph generation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.162991Z

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Observation 1283dfb1-398b-44c7-a2b7-b6cbcfe8a876 · outbound

This paper cites General graph generators: experiments, analyses, and improvements.

Efficient Dynamic Attributed Graph Generation General graph generators: experiments, analyses, and improvements

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.148386Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3829bc7f-d91f-48b5-9201-7c38edff5d71 · outbound

This paper cites Spatio-temporal attentive rnn for node classification in temporal attributed graphs.

Efficient Dynamic Attributed Graph Generation Spatio-temporal attentive rnn for node classification in temporal attributed graphs

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.133769Z

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Observation 6e272cf6-182d-44e2-9c72-cde8d1143c85 · outbound

This paper cites How Powerful are Graph Neural Networks?.

Efficient Dynamic Attributed Graph Generation How Powerful are Graph Neural Networks?

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T17:38:40.565999Z

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Observation 39b8fa22-fa04-4ab9-8f10-1741d5abc42f · outbound

This paper cites Representation learning on graphs with jumping knowledge networks.

Efficient Dynamic Attributed Graph Generation Representation learning on graphs with jumping knowledge networks

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.120280Z

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Observation a6a67fef-1d80-4f5f-8992-833e3d80b0ab · outbound

This paper cites Sam: Database generation from query workloads with supervised autoregres- sive models.

Efficient Dynamic Attributed Graph Generation Sam: Database generation from query workloads with supervised autoregres- sive models

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:41.105959Z

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Observation 08cedae2-e3f7-4e01-8a98-9b177def4bba · outbound

This paper cites Graphrnn: Generating realistic graphs with deep auto- regressive models.

Efficient Dynamic Attributed Graph Generation Graphrnn: Generating realistic graphs with deep auto- regressive models

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:40.980879Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 99d6ad13-6b88-433f-8d92-33b097c688a5 · outbound

This paper cites Dymond: Dynamic motif-nodes network generative model.

Efficient Dynamic Attributed Graph Generation Dymond: Dynamic motif-nodes network generative model

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:40.807610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 37030601-0d17-474c-8d23-947c1cf1f937 · outbound

This paper cites Dscaler: Synthetically scaling a given relational database.

Efficient Dynamic Attributed Graph Generation Dscaler: Synthetically scaling a given relational database

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:40.777582Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5747811b-5b29-482a-81aa-1bc61add0cbf · outbound

This paper cites Tg-gan: Continuous-time temporal graph deep generative models with time-validity constraints.

Efficient Dynamic Attributed Graph Generation Tg-gan: Continuous-time temporal graph deep generative models with time-validity constraints

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:40.762652Z

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Observation 5e8c732b-8418-4933-9b2e-8a4261c201cc · outbound

This paper cites A data-driven graph generative model for temporal interaction networks.

Efficient Dynamic Attributed Graph Generation A data-driven graph generative model for temporal interaction networks

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:40.748600Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 84a5f30f-e10a-4a4e-8482-2c02a2276f26 · outbound

This paper cites Tgl: a general framework for temporal gnn training on billion-scale graphs.

Efficient Dynamic Attributed Graph Generation Tgl: a general framework for temporal gnn training on billion-scale graphs

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:38:40.732713Z

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Pith citing papers

Observation d4903255-bdd5-4c62-911e-6fe43bbf46b0 · inbound

SGPT: Few-Shot Prompt Tuning for Signed Graphs cites this paper.

SGPT: Few-Shot Prompt Tuning for Signed Graphs Efficient Dynamic Attributed Graph Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T18:08:00.242603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 573cf6f6-ff1b-447a-ab22-3a3114492945 · inbound

PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes cites this paper.

PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes Efficient Dynamic Attributed Graph Generation

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:08:50.058832Z

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