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Paper Citation Record · LEDGER

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection

As of 11 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2501.02032.

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

pith.paper-citation-record.v1
2501.02032 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:26:20.682812Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

39 of 39 outbound references displayed

  • verified exact3
  • verified fuzzy7
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f35a09bc-8ec3-4bf4-a3fe-a816c3449e72 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-10T22:26:20.528716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.528716Z digest=sha256:06938e26b307198b750ddf711ccbdc7fd417d1c6e57863898e47c479cac927d5

Observation 9fb3cdb5-f52c-45d7-a588-65edf659515a · outbound

This paper cites Bhowmik, T.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Bhowmik, T

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-10T22:26:21.211187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.534375Z digest=sha256:d0b5a2a5909087517b6baee7517756c5e35b003873d426c48ee8cefeb72ab55e

Observation d87df5f2-923a-4996-8f1f-d1c94d07c352 · outbound

This paper cites Wenhua, F.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Wenhua, F

Reference 3

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raw_fallback, observed 2026-08-10T22:26:21.197374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.538824Z digest=sha256:8f9be36b7ac0e6afaf4519154682a0597c3f837adfe520a3ae849ab744fe4f48

Observation be61d733-0791-4831-997e-7daa404b9a9c · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 4

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raw_fallback, observed 2026-08-10T22:26:21.179781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.542977Z digest=sha256:6d4b92b4379412a6ece4f3f42d08ec8a61c6fec183072f973eef6c49417c8e3a

Observation 525fcb87-0684-47ce-be2e-a34ec1cf2fce · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 5

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raw_fallback, observed 2026-08-10T22:26:21.165802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.547498Z digest=sha256:d3a9b4d49d8113a6a7362d4d824c6257807df862654d3d719a7ba424c143fa41

Observation b867f24c-1391-4ba6-94b4-16b7fe58c914 · outbound

This paper cites Givargizov, Unstable financial and economic factors in the world and their influence on the development of blockchain technologies, Inter- national Humanitarian University Herald.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Givargizov, Unstable financial and economic factors in the world and their influence on the development of blockchain technologies, Inter- national Humanitarian University Herald

Reference 6

Resolution
verified exact
doi, observed 2026-08-10T22:26:20.729406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.551836Z digest=sha256:b30eb28fdcb48bc4dd8ccffb71eec6a6fac92d19d55492a797111bd3304c1ff3

Observation 36f0e0c0-7248-4acb-b202-d54c64963dcc · outbound

This paper cites Zheng, J.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Zheng, J

Reference 7

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no resolver link, observed 2026-08-10T22:26:20.556034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.556034Z digest=sha256:0f3bad0bae6e851ceb8526316289955dc816416963da66fed8e4373ef954cf0a

Observation 6fb0bae1-d270-441d-a57c-c50f35364242 · outbound

This paper cites Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:26:20.852782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.559920Z digest=sha256:2880de4c0f1749a964279200193fcbdbee7feae74d3bb55f18536df99a9d2944

Observation 13db7669-3d5b-4996-abe8-4e6aacb59dc2 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 9

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raw_fallback, observed 2026-08-10T22:26:21.143840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.564162Z digest=sha256:1c607636492357674b361b07027cb930795a87fc52c01cba700e2174c1a7c73c

Observation be215bb3-ff46-47b2-bd59-714ce0547ca0 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 10

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raw_fallback, observed 2026-08-10T22:26:21.129088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.567717Z digest=sha256:e70d4469889a882d488958ffb943c1e6717653ca793bb076747e3d6f98618683

Observation c7476271-6564-4693-b06c-b5fce315942b · outbound

This paper cites Elmougy, L.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Elmougy, L

Reference 11

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raw_fallback, observed 2026-08-10T22:26:21.115442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.572032Z digest=sha256:05a3937ef5766a969d80b864b5d83d59c342862dcb5e4698bd336a35314f487a

Observation 062d8780-f285-4a39-9d5a-11a27c5cb36d · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-10T22:26:21.103705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.575877Z digest=sha256:5cfe46437368d5ea0d29e863bd8c71a547fce65d287e02424979b0158ddb626c

Observation 31a199f0-d6dd-45c6-b07b-b042c2a6bb75 · outbound

This paper cites Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques

Reference 13

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verified exact
local_arxiv, observed 2026-08-10T22:26:20.835699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.579859Z digest=sha256:e44d922e28c95066fb4c1feee222e08139c9e2ac05af1ae4b2189b861485d738

Observation 61ea64a4-babd-407b-a3cd-b23318d02f08 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 14

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unresolved
raw_fallback, observed 2026-08-10T22:26:21.090076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.583935Z digest=sha256:441717b8d6e72beed2bba1a3c60b6c6e27185e556fa08dd1ad5422783f2ea4c3

Observation 12ed5e05-e053-450d-ac9d-4e1d9036c7cc · outbound

This paper cites Ethereum Fraud Detection with Heterogeneous Graph Neural Networks.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Ethereum Fraud Detection with Heterogeneous Graph Neural Networks

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.587047Z digest=sha256:9f8de57e0efb86ef2dda43d6ba51102680e0e99ce52fc77e1e58ae30c12b551b

Observation c209ba8f-040b-4530-a875-54180b1e0ac0 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 16

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raw_fallback, observed 2026-08-10T22:26:21.075749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.590493Z digest=sha256:e621645b9a97cc035b8b93878131e0f9639370aea426a271e7b53bc989f7a398

Observation e752fb85-e973-469e-b7b8-e58ac542a32f · outbound

This paper cites TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum

Reference 17

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no resolver link, observed 2026-08-10T22:26:20.593819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.593819Z digest=sha256:5ea7a6df2ee9507700199f73f157d3f049ba0e248bc614273d1af2d4dbac5ff8

Observation 41963fe7-4dfc-4151-85bf-d33822198808 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-10T22:26:21.062446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.597509Z digest=sha256:7a5a6b2ab5d4ea2fa3c99e45143f9520d45be19b4784973ca9d278fabfea5ec7

Observation 7daa5907-13b2-4fe3-99f7-de14ff850a4f · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.601551Z digest=sha256:cf6d6eba111e902e77c2f15cb5d9d82e7e04d63742bc08967bc9cc927390b606

Observation 87c93ff4-f9be-4268-96e0-57ff0c466490 · outbound

This paper cites Farrugia, J.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Farrugia, J

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-10T22:26:21.032955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.606435Z digest=sha256:182c4e618409fd778ae5e5d9ad564c4a3b4283b3d139c95521ceea01c03c4833

Observation 76e582c2-3c0d-4a0a-bc82-1734f43609c9 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 21

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raw_fallback, observed 2026-08-10T22:26:21.016612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.610712Z digest=sha256:08e57eee9e80ec4b8befddad41f351c14308fa255cf4054e8b9300660e561de5

Observation deba4d3b-8ebe-47c5-a219-3536b5c35e6c · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.614047Z digest=sha256:41abb3b1529a10a79bf8000be9aaf3a9a7f323ba7077b455fac7599dffbed998

Observation 43caee5f-d6fa-4cc5-8d3d-752d40228f03 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.618120Z digest=sha256:1d11e98ccc41831a30f7a97bcc71c07ee8c980b6b88d3234f104f6c9c39444b5

Observation 35eeff7c-f3d3-4535-8df2-ede3c19b392c · outbound

This paper cites Chen, S.-Z.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Chen, S.-Z

Reference 24

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raw_fallback, observed 2026-08-10T22:26:20.980091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.621301Z digest=sha256:fe749203caebeffce8bcc65311bed2f096a8cb4be3df8b791aea32dbc8d340d5

Observation 3735b84b-2c15-429b-bec5-dcd1f53d66bf · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 25

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raw_fallback, observed 2026-08-10T22:26:20.966534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.625130Z digest=sha256:bc3449a21448250374dc599a8b3abb87da4d590e4bae3db7d73c9ccedc4082ba

Observation 95c61143-e992-47b7-bf04-e7e77e6a1162 · outbound

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

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Semi-Supervised Classification with Graph Convolutional Networks

Reference 26

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no resolver link, observed 2026-08-10T22:26:20.628991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.628991Z digest=sha256:2e6bc943ed55aab2d59e4785eeae00273d8faa81d4c23d57ed3a112d576e16ea

Observation 14040393-d456-439d-9688-14756d5f9934 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 27

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no resolver link, observed 2026-08-10T22:26:20.633289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.633289Z digest=sha256:8bc19d91878aae638397d3126f8284bba60663259c8cbd1ff0f2898fdf67afda

Observation 2882716e-41ba-4753-9aae-ec53be653fd1 · outbound

This paper cites Vaswani, Attention is all you need, Advances in Neural Information Processing Systems (2017).

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Vaswani, Attention is all you need, Advances in Neural Information Processing Systems (2017)

Reference 28

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no resolver link, observed 2026-08-10T22:26:20.637702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.637702Z digest=sha256:bc8375450a16f6b121c537d7f675b58e0d532fe47109245fbe652333fa5326eb

Observation 2684c17d-923c-4bfb-bbcb-7c1c7f97ae80 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-10T22:26:20.942839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.642008Z digest=sha256:7adb53e9d711f1d316267288d2d27933e19aec9d191fe06e845988d57c66a3cf

Observation 3d8f1cbf-8f3f-4124-ba73-ac791a347526 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-10T22:26:20.929483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.645742Z digest=sha256:bd73858dd34851c37603d088b3f942b3364b0a1796dcdc29314194953816df2b

Observation 905796cf-c01e-49ee-94ea-e960094e7f2c · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 31

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no resolver link, observed 2026-08-10T22:26:20.649877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.649877Z digest=sha256:b05cc4ec7f42a7fa390aa7e30b2e65add4941382f3a1ab4f82726dc8de32bb72

Observation be296d40-4be2-47ef-bb38-25e989165e4d · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 32

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no resolver link, observed 2026-08-10T22:26:20.653837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.653837Z digest=sha256:3347b2ab5e1b21ec4309a0cbfe685e22de6d389a1650e8944728d81f548a1d04

Observation 48710d10-a064-4a2f-b230-eb45676a81bf · outbound

This paper cites Perozzi, R.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Perozzi, R

Reference 33

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no resolver link, observed 2026-08-10T22:26:20.657526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.657526Z digest=sha256:491a432d918e3acc2a12098db1f955024746b9896e23cbcf735662e6c9259abf

Observation d6d1bfb6-ac6b-4ad6-aac2-73610801465d · outbound

This paper cites Rozemberczki, R.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Rozemberczki, R

Reference 34

Resolution
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raw_fallback, observed 2026-08-10T22:26:20.894532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.661394Z digest=sha256:0b56c7695351c01037abd550544778e42e383426dfff6263fde15365c8ab3a7f

Observation 7f57de7b-1c61-4844-b3e1-60b5fd7b4101 · outbound

This paper cites Learning Role-based Graph Embeddings.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Learning Role-based Graph Embeddings

Reference 35

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no resolver link, observed 2026-08-10T22:26:20.664853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.664853Z digest=sha256:126773bc797144e72e5dbbc5572f93bd1527f7028e4dc45844942af2d2467a45

Observation fb223359-3aea-4d46-a047-80642f390018 · outbound

This paper cites Béres, I.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Béres, I

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-10T22:26:20.882940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.669163Z digest=sha256:4a547c676c1d88a60ee110ef273ef14e2c7e8fde81c4f3edb154e3eb9f4c6f75

Observation 55d31b09-5e4b-49bb-872f-aa32b0341be9 · outbound

This paper cites Hamilton, Z.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Hamilton, Z

Reference 37

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no resolver link, observed 2026-08-10T22:26:20.674242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d223a4e7-db9e-4e1b-89b4-f9ee806c0b3a · outbound

This paper cites Graph Attention Networks.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Graph Attention Networks

Reference 38

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Observation bcd91a69-1f5f-4a45-b1d5-1bd024d4f844 · outbound

This paper cites LeCun, Y.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection LeCun, Y

Reference 39

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