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FACT: a Framework for Analysis and Capture of Twitter Graphs.

, , и . SNAMS, стр. 134-141. IEEE, (2019)

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Daniel Schroeder

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Implementating Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs., , , и . IPDPS Workshops, стр. 45-54. IEEE, (2022)Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022., , , , и . MediaEval, том 3583 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)A Scalable System for Bundling Online Social Network Mining Research., , , , , , и . SNAMS, стр. 1-6. IEEE, (2020)GraphMa: Towards new Models for Pipeline-Oriented Computation on Graphs., , , и . ICPE (Companion), стр. 98-105. ACM, (2024)Graph Neural Network for Fake News Detection and Classification of Unlabelled Nodes at MediaEval 2022., , , и . MediaEval, том 3583 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets., , , , и . OASIS@HT, стр. 21-25. ACM, (2021)FACT: a Framework for Analysis and Capture of Twitter Graphs., , и . SNAMS, стр. 134-141. IEEE, (2019)Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks., , , и . SEA, том 233 из LIPIcs, стр. 12:1-12:17. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs., , , , и . ISC, том 12728 из Lecture Notes in Computer Science, стр. 291-309. Springer, (2021)WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets., , , , и . ICAART (2), стр. 257-266. SCITEPRESS, (2021)