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