ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes | Paper Citation Record

Observation 2b17d7cd-472c-41f2-8d22-238fb631d048 · outbound

This paper cites Proceedings of the 2019 SIAM international conference on data mining , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the 2019 SIAM international conference on data mining , pages=

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:03.084136Z

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Observation a5668b7c-9aaa-4385-adf8-f31a5d550d5e · outbound

This paper cites Boost then Convolve: Gradient Boosting Meets Graph Neural Networks.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Boost then Convolve: Gradient Boosting Meets Graph Neural Networks

Reference 2

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This paper cites International conference on machine learning , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes International conference on machine learning , pages=

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:03.070461Z

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This paper cites Proceedings of the ACM web conference 2023 , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the ACM web conference 2023 , pages=

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:03.059017Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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This paper cites IEEE transactions on neural networks and learning systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes IEEE transactions on neural networks and learning systems , volume=

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:03.046431Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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This paper cites Joint European conference on machine learning and knowledge discovery in databases , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Joint European conference on machine learning and knowledge discovery in databases , pages=

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:03.034900Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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This paper cites Advances in Neural Information Processing Systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in Neural Information Processing Systems , volume=

Reference 7

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This paper cites Advances in neural information processing systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in neural information processing systems , volume=

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:03.015514Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f7dbda8c-0f7e-473d-bc5a-4b858d661b06 · outbound

This paper cites IEEE Transactions on Computational Social Systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes IEEE Transactions on Computational Social Systems , volume=

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:03.003688Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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This paper cites Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence,.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T19:12:02.225559Z

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This paper cites Advances in Neural Information Processing Systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in Neural Information Processing Systems , volume=

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.991487Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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This paper cites Advances in Neural Information Processing Systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in Neural Information Processing Systems , volume=

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.979118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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This paper cites Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.968056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5e5195a4-3ad5-48b4-9836-5a4c662d833d · outbound

This paper cites Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts

Reference 14

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This paper cites arXiv preprint arXiv:2601.19102 , year=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes arXiv preprint arXiv:2601.19102 , year=

Reference 15

Resolution: verified exact; raw_fallback, observed 2026-08-12T19:12:02.682615Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 25606f68-7bc8-47cd-96c7-4d840bc74f98 · outbound

This paper cites Generalist Graph Anomaly Detection via Prototype-Based Distillation.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Generalist Graph Anomaly Detection via Prototype-Based Distillation

Reference 16

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Observation 3ad1843c-752d-4a40-a72d-eba62f28bb4e · outbound

This paper cites Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning

Reference 17

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Unavailable: canonical work link unavailable.

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This paper cites Proceedings of the 33rd ACM International Conference on Multimedia , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the 33rd ACM International Conference on Multimedia , pages=

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.956634Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec407758-9b93-401b-9a90-23b8ee394776 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in Neural Information Processing Systems , volume=

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.943965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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This paper cites 2026 , url=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes 2026 , url=

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.931299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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This paper cites arXiv preprint arXiv:2511.17584 , year=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes arXiv preprint arXiv:2511.17584 , year=

Reference 21

Resolution: verified exact; raw_fallback, observed 2026-08-12T19:12:02.585253Z

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This paper cites Advances in neural information processing systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in neural information processing systems , volume=

Reference 22

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This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.911317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a7fde8e0-8544-46c2-9475-e9b551c4f60c · outbound

This paper cites IEEE transactions on knowledge and data engineering , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes IEEE transactions on knowledge and data engineering , volume=

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.898145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 95b2d769-043b-47ab-93f1-8fb50be9c843 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , year=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes IEEE Transactions on Knowledge and Data Engineering , year=

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.883523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 86cb5349-e349-49bf-a960-874b53eaa26e · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in Neural Information Processing Systems , volume=

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.871494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6f8dcd64-3cde-4c9c-ae02-e578330d86fe · outbound

This paper cites Learning on Large-scale Text-attributed Graphs via Variational Inference.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Learning on Large-scale Text-attributed Graphs via Variational Inference

Reference 27

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Observation 88ea1ca6-b59e-42e1-8e0f-0e2cd3b61404 · outbound

This paper cites Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining , pages=

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T19:12:02.298290Z

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This paper cites Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining , pages=

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.851984Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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This paper cites Proceedings of the ACM web conference 2023 , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the ACM web conference 2023 , pages=

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.840722Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , year=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes IEEE Transactions on Pattern Analysis and Machine Intelligence , year=

Reference 31

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This paper cites ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.822778Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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This paper cites Proceedings of the fifteenth ACM international conference on web search and data mining , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the fifteenth ACM international conference on web search and data mining , pages=

Reference 33

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f1589428-8ab1-469a-b59d-a2c29d3cccd8 · outbound

This paper cites A Survey of Generalization of Graph Anomaly Detection: From Transfer Learning to Foundation Models.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes A Survey of Generalization of Graph Anomaly Detection: From Transfer Learning to Foundation Models

Reference 34

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Source-reported events for the cited work

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Observation ef94a148-8695-4dbe-a7da-cf38c76d5ed8 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.798446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a06064bd-e6e7-491b-a074-069efda95957 · outbound

This paper cites ACM Transactions on Knowledge Discovery from Data , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes ACM Transactions on Knowledge Discovery from Data , volume=

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.786496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6f05b74a-f930-4d0e-89dd-ed1eae5d851f · outbound

This paper cites Advances in neural information processing systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in neural information processing systems , volume=

Reference 37

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ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes AI magazine , volume=

Reference 38

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This paper cites Advances in Neural Information Processing Systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in Neural Information Processing Systems , volume=

Reference 39

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This paper cites When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning

Reference 40

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ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 41

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ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Forty-second International Conference on Machine Learning , year=

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.751247Z

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Observation 9c858691-75b5-4eb0-86d2-b2baa82ad584 · outbound

This paper cites Proceedings of the 47th international ACM SIGIR conference on research and development in information retrieval , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the 47th international ACM SIGIR conference on research and development in information retrieval , pages=

Reference 43

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This paper cites Advances in neural information processing systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in neural information processing systems , volume=

Reference 44

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ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Reference 45

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ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes ACM Computing Surveys , volume=

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.726308Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f0004d3-480d-48f0-ab66-1d4633e517a7 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:12:02.715198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers