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Evaluating model serving strategies over streaming data., , , и . DEEM@SIGMOD, стр. 4:1-4:5. ACM, (2022)Quick Incremental Routing Logic for Dynamic Network Graphs., , , , , и . SIGCOMM Posters and Demos, стр. 9-11. ACM, (2017)In situ neighborhood sampling for large-scale GNN training., , , , и . DaMoN, стр. 11:1-11:5. ACM, (2024)GCNSplit: bounding the state of streaming graph partitioning., , , , и . aiDM@SIGMOD, стр. 3:1-3:12. ACM, (2022)Beyond Analytics: The Evolution of Stream Processing Systems., , , и . SIGMOD Conference, стр. 2651-2658. ACM, (2020)SnailTrail: Generalizing Critical Paths for Online Analysis of Distributed Dataflows., , , , , , , и . NSDI, стр. 95-110. USENIX Association, (2018)The Future is Big Graphs! A Community View on Graph Processing Systems., , , , , , , , , и 31 other автор(ы). CoRR, (2020)High-Level Programming Abstractions for Distributed Graph Processing., , и . IEEE Trans. Knowl. Data Eng., 30 (2): 305-324 (2018)The non-expert tax: quantifying the cost of auto-scaling in cloud-based data stream analytics., , и . BiDEDE@SIGMOD, стр. 7:1-7:7. ACM, (2022)GRADES-NDA'22: 5th International Workshop on Graph Data management Experiences and Systems (GRADES) and Network Data Analytics (NDA)., и . SIGMOD Conference, стр. 2546-2547. ACM, (2022)