A Graph Neural Architecture Search Approach for Identifying Bots in Social Media | Paper Citation Record

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This paper cites Multitask learning for recognizing stress and depression in social media.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Multitask learning for recognizing stress and depression in social media

Reference 1

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This paper cites Calibration of transformer-based models for identifying stress and depression in social media.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Calibration of transformer-based models for identifying stress and depression in social media

Reference 2

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This paper cites Depression detection in social media posts using transformer-based models and auxiliary features.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Depression detection in social media posts using transformer-based models and auxiliary features

Reference 3

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This paper cites an unresolved cited work.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Unresolved cited work

Reference 4

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Observation 4dd92171-5560-44bc-9760-b3bd0d5a5ac5 · outbound

This paper cites Moffitt, and Kathleen M.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Moffitt, and Kathleen M

Reference 5

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This paper cites How social bots can influence public opinion more effectively: Right connection strategy.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media How social bots can influence public opinion more effectively: Right connection strategy

Reference 6

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This paper cites Being my own gatekeeper, how i tell the fake and the real – fake news perception between typologies and sources.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Being my own gatekeeper, how i tell the fake and the real – fake news perception between typologies and sources

Reference 7

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Observation 7f59bdf1-ae28-4f57-808f-b96310b13416 · outbound

This paper cites How does social media knowledge help in combating fake news? testing a structural equation model.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media How does social media knowledge help in combating fake news? testing a structural equation model

Reference 8

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Observation d6f9025f-6432-4200-ba2f-a6b2ad5dfb6c · outbound

This paper cites Seven months with the devils: A long-term study of content polluters on twitter.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Seven months with the devils: A long-term study of content polluters on twitter

Reference 9

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Observation 6b20a992-58d3-4f23-8e97-7f2cb29b1e2c · outbound

This paper cites Social fingerprinting: detection of spambot groups through dna-inspired behavioral modeling.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Social fingerprinting: detection of spambot groups through dna-inspired behavioral modeling

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.537022Z

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Observation 4b47ce08-2292-4064-8c2e-ba090d0714c1 · outbound

This paper cites An efficient reinforcement learning-based botnet detection approach.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media An efficient reinforcement learning-based botnet detection approach

Reference 11

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Observation d1ab5b7b-058a-4da3-8b56-ecece64faec2 · outbound

This paper cites Botrgcn: Twitter bot detection with relational graph convolutional networks.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Botrgcn: Twitter bot detection with relational graph convolutional networks

Reference 12

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Observation a2ad8a14-1f0c-4f18-a056-607835aa0667 · outbound

This paper cites Deep and flexible graph neural architecture search.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Deep and flexible graph neural architecture search

Reference 13

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This paper cites Twibot-20: A comprehensive twitter bot detection benchmark.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twibot-20: A comprehensive twitter bot detection benchmark

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.487479Z

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This paper cites Social bots distort the 2016 u.s.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Social bots distort the 2016 u.s

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.474943Z

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Observation 2fe4e3d1-7327-410e-90dc-40f5a0211362 · outbound

This paper cites What types of covid-19 conspiracies are populated by twitter bots? First Monday, 5 2020.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media What types of covid-19 conspiracies are populated by twitter bots? First Monday, 5 2020

Reference 16

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Observation f263514c-a06b-44f4-af1f-d13e417f4060 · outbound

This paper cites Dialog in the echo chamber: Fake news framing predicts emotion, argumentation and dialogic social knowledge building in subsequent online discussions.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Dialog in the echo chamber: Fake news framing predicts emotion, argumentation and dialogic social knowledge building in subsequent online discussions

Reference 17

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Observation 5463bc9b-f1e0-4d35-8dde-dedb81593caf · outbound

This paper cites Cyberbullying detection for low-resource languages and dialects: Re- view of the state of the art.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Cyberbullying detection for low-resource languages and dialects: Re- view of the state of the art

Reference 18

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Observation 62c1b8f7-c370-4847-b823-8fb09c97a076 · outbound

This paper cites Rosgas: Adaptive social bot detection with reinforced self-supervised gnn architecture search.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Rosgas: Adaptive social bot detection with reinforced self-supervised gnn architecture search

Reference 19

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Observation f3a9e74b-65d5-4aa7-bb38-ff5552d77a68 · outbound

This paper cites Deep neural networks for bot detection.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Deep neural networks for bot detection

Reference 20

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Observation c97a7d2a-107b-478f-bd96-aaae8920a3b7 · outbound

This paper cites Twitter bot detection using bidirec- tional long short-term memory neural networks and word embeddings.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twitter bot detection using bidirec- tional long short-term memory neural networks and word embeddings

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.408169Z

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Observation 3de3879b-ec4f-426d-b8c8-3377df30599a · outbound

This paper cites Rethinking graph neural architecture search from message-passing.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Rethinking graph neural architecture search from message-passing

Reference 22

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Observation c5d1320b-9048-43c0-8695-ccaf15c8f0bd · outbound

This paper cites Botornot: A system to evaluate social bots.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Botornot: A system to evaluate social bots

Reference 23

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Observation f61e6284-d81b-4bca-aabb-1900d08f5783 · outbound

This paper cites Botometer 101: Social bot practicum for computational social scientists.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Botometer 101: Social bot practicum for computational social scientists

Reference 24

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Observation c5c34d6d-694f-45d4-8cec-698099b0f2de · outbound

This paper cites Twitter bot detection using diverse content features and applying ma- chine learning algorithms.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twitter bot detection using diverse content features and applying ma- chine learning algorithms

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.362465Z

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Observation fd2a3f6f-cdfa-4414-8cdf-68a87cef95f2 · outbound

This paper cites Bot-mgat: A transfer learning model based on a multi-view graph attention network to detect social bots.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Bot-mgat: A transfer learning model based on a multi-view graph attention network to detect social bots

Reference 26

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Observation 777e31f1-9061-43e4-aaa1-640705a1227e · outbound

This paper cites Satar: A self-supervised approach to twitter account representation learning and its application in bot detection.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Satar: A self-supervised approach to twitter account representation learning and its application in bot detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.337329Z

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Observation 53b662b3-7e45-44a6-8788-f2accfbfbf3c · outbound

This paper cites Detecting malicious activity in twitter using deep learning techniques.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Detecting malicious activity in twitter using deep learning techniques

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.322676Z

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Observation 1cf9babe-1beb-489b-af20-6fc531753c67 · outbound

This paper cites Mul- timodal detection of bots on x (twitter) using transformers.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Mul- timodal detection of bots on x (twitter) using transformers

Reference 29

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Observation 18f2f671-58c1-4cd4-acd8-7db880c5a522 · outbound

This paper cites Twitter bot detection using neural networks and linguistic embeddings.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twitter bot detection using neural networks and linguistic embeddings

Reference 30

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Observation cd1df582-d761-4a76-b46a-dd27d2a08860 · outbound

This paper cites Multi-view co- attention network for fake news detection by modeling topic-specific user and news source credibility.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Multi-view co- attention network for fake news detection by modeling topic-specific user and news source credibility

Reference 31

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Observation b2841bd9-aaad-497d-9bc1-e22493e02260 · outbound

This paper cites BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline

Reference 32

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Observation c0a09f20-698d-4ba9-b458-a1262b3686f3 · outbound

This paper cites Twitter bot detection and ranking using supervised machine learning models.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twitter bot detection and ranking using supervised machine learning models

Reference 33

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Observation 85aace22-7d24-4b6e-ba32-f4de3775872f · outbound

This paper cites Botmoe: Twitter bot detection with community- aware mixtures of modal-specific experts.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Botmoe: Twitter bot detection with community- aware mixtures of modal-specific experts

Reference 34

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Observation cf6e231f-170a-4f15-ba4d-b57417176a8a · outbound

This paper cites A statistical approach for reducing misinformation propagation on twitter social media.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media A statistical approach for reducing misinformation propagation on twitter social media

Reference 35

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Observation 58405e38-9a83-4366-9831-a1c94692f150 · outbound

This paper cites Caleb: A conditional adversarial learning framework to enhance bot detection.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Caleb: A conditional adversarial learning framework to enhance bot detection

Reference 36

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Observation a878f102-6675-4cbf-8ef0-ecf1d01ac6db · outbound

This paper cites Scalable and generalizable social bot detection through data selec- tion.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Scalable and generalizable social bot detection through data selec- tion

Reference 37

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Observation 588c2eab-fd7c-40a7-b8d7-088ffaae0429 · outbound

This paper cites Real-time bot infection detection system using dns fingerprinting and machine-learning.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Real-time bot infection detection system using dns fingerprinting and machine-learning

Reference 38

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Observation abb7d0f0-7212-49f4-a72c-2a47ce8b4691 · outbound

This paper cites Twitter spammer detection using data stream clustering.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twitter spammer detection using data stream clustering

Reference 39

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Observation 9af0d4dd-8dc4-441e-8957-65b793a4e664 · outbound

This paper cites Debot: Twitter bot detection via warped correlation.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Debot: Twitter bot detection via warped correlation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.178792Z

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Observation 521e6f57-8054-4bcd-ace3-51d6d463885e · outbound

This paper cites Botwalk: Efficient adaptive exploration of twitter bot networks.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Botwalk: Efficient adaptive exploration of twitter bot networks

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.167188Z

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Observation 1479af1a-f8fd-4e16-8df8-0159ef81bd3f · outbound

This paper cites Mannocci, S.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Mannocci, S

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.154080Z

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Observation 2d62a035-4de2-47ae-bd43-086e5927bebc · outbound

This paper cites Twitter bot detection through unsupervised machine learning.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twitter bot detection through unsupervised machine learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.141723Z

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Observation 9d8ff1ba-4fc5-4b9a-8b92-c3ed1e155434 · outbound

This paper cites An unsupervised method for social network spammer detection based on user information interests.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media An unsupervised method for social network spammer detection based on user information interests

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.128578Z

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Observation 6e3c7684-9dfd-40e6-a81a-1374c0590460 · outbound

This paper cites an unresolved cited work.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Unresolved cited work

Reference 45

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Observation 2aa9a201-7363-4086-befd-34e60f0080b8 · outbound

This paper cites Detect me if you can: Spam bot detection using inductive representation learning.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Detect me if you can: Spam bot detection using inductive representation learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.101132Z

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Observation e1a3d106-8bbd-4413-bef0-a067446376bf · outbound

This paper cites Heterogeneity- aware twitter bot detection with relational graph transformers.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Heterogeneity- aware twitter bot detection with relational graph transformers

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.079568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f0080184-afd6-464e-a083-af84dc3af0e1 · outbound

This paper cites You talkin’ to me? exploring human/bot communication patterns during riot events.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media You talkin’ to me? exploring human/bot communication patterns during riot events

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.067111Z

Source-reported events for the cited work

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Observation e11ba3ff-3d6a-404d-ab1c-6ec2b5ddf892 · outbound

This paper cites Twitter bot detection using social network analysis.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twitter bot detection using social network analysis

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.056153Z

Source-reported events for the cited work

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Observation 60298227-1949-4b9f-9c89-4d53f4a55586 · outbound

This paper cites Detecting bots in social-networks using node and structural embeddings.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Detecting bots in social-networks using node and structural embeddings

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.045872Z

Source-reported events for the cited work

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Observation cbc7fff5-c02c-4296-a37a-c9a191fd5618 · outbound

This paper cites Nguyen, Bay V o, and Unil Yun.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Nguyen, Bay V o, and Unil Yun

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.034733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 10d8dfc1-6a35-41db-9e25-e87800295549 · outbound

This paper cites Opinion spam detection: Using multi-iterative graph-based model.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Opinion spam detection: Using multi-iterative graph-based model

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.025052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4bd7473b-f6af-4e17-8284-4c6eb5238c5d · outbound

This paper cites HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T13:22:27.627811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a356f120-b956-4ade-9b8a-9c2447369676 · outbound

This paper cites Similcatch: Enhanced social spammers detection on twitter using markov random fields.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Similcatch: Enhanced social spammers detection on twitter using markov random fields

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.012231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 741fa3a9-847d-4ccd-b9cc-be8b8bb73552 · outbound

This paper cites Auto-gnn: Neural architecture search of graph neural networks.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Auto-gnn: Neural architecture search of graph neural networks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:28.001156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6948fc9a-01b0-41d7-a1bd-d08fdeb42d10 · outbound

This paper cites Graph neural architecture search.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Graph neural architecture search

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:27.990897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c4681a43-befb-40b9-8823-e588eb9b947e · outbound

This paper cites Simplifying Architecture Search for Graph Neural Network.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Simplifying Architecture Search for Graph Neural Network

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T13:22:27.647593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa3becaa-49f4-4b00-b132-b5fc1cbead97 · outbound

This paper cites an unresolved cited work.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:22:27.980848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1d138b26-0a1a-4816-94d7-28eda0935046 · outbound

This paper cites Meta-gnas: Meta-reinforcement learning for graph neural architecture search.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Meta-gnas: Meta-reinforcement learning for graph neural architecture search

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:27.970302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 44901e00-89ad-485e-b48c-db2a4919b2fa · outbound

This paper cites Learning graph convolutional network for skeleton-based human action recog- nition by neural searching.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Learning graph convolutional network for skeleton-based human action recog- nition by neural searching

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:27.959153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 89c0e3cb-7a84-4b88-b05e-e3d0cb0e5ec8 · outbound

This paper cites Jiang and P.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Jiang and P

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:27.948096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ba900a5f-58d9-46fe-9edf-d352c9fca60f · outbound

This paper cites Fast evolutionary neural architecture search by contrastive predictor with linear regions.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Fast evolutionary neural architecture search by contrastive predictor with linear regions

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:27.938021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e08c9ee1-8280-429e-9fe9-3a7fe77dbe7d · outbound

This paper cites Evolutionary architecture search via adaptive parameter control and gene potential contribution.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Evolutionary architecture search via adaptive parameter control and gene potential contribution

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:27.925278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 033d7cfc-16c4-42f0-9893-2574f1769db5 · outbound

This paper cites Alexandre.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Alexandre

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:27.914003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation db45d35a-01ee-4468-b8e1-d71cf2fdf51b · outbound

This paper cites Search to aggregate neighborhood for graph neural network.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Search to aggregate neighborhood for graph neural network

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:27.901286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2cc6e988-ca94-4d1a-b4a4-6ff8220cf579 · outbound

This paper cites One-shot graph neural architecture search with dynamic search space.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media One-shot graph neural architecture search with dynamic search space

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:27.890330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8f4592d5-8a10-4288-aaf4-2681d059c2a6 · outbound

This paper cites A neural architecture search method based on gradient descent for remaining useful life estimation.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media A neural architecture search method based on gradient descent for remaining useful life estimation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:27.878910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a6cc7027-ba67-40b1-a6ff-5be77070d950 · outbound

This paper cites Online game bot detection based on party-play log analysis.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Online game bot detection based on party-play log analysis

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:27.867719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 236a100b-3959-4c50-805c-b9d10b3a8fc4 · outbound

This paper cites A high level security mechanism for internet polls.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media A high level security mechanism for internet polls

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:27.854165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 863ea89b-49f5-4eb2-9304-4f660155e9bc · outbound

This paper cites Twibot-22: towards graph- based twitter bot detection.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twibot-22: towards graph- based twitter bot detection

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:27.841253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 34981ec1-68eb-48de-9ad4-49ed62b311dd · outbound

This paper cites A multimodal approach for dementia detection from spontaneous speech with tensor fusion layer.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media A multimodal approach for dementia detection from spontaneous speech with tensor fusion layer

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:27.827974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6b8520c1-b8eb-4a41-9f60-ecba192669ec · outbound

This paper cites Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:27.814222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b31e45bd-3199-4e27-bb48-e87e3876288e · outbound

This paper cites Neural architecture search with multimodal fusion methods for diagnosing dementia.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Neural architecture search with multimodal fusion methods for diagnosing dementia

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:22:27.797736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d711ef06-f00a-4311-8fc8-3b455c0f3c04 · outbound

This paper cites an unresolved cited work.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Unresolved cited work

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-12T13:22:27.596243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13fd3247-bc17-4f68-a523-b0c1bbd674a1 · outbound

This paper cites an unresolved cited work.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T13:22:27.528557Z

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