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Helios: Efficient Distributed Dynamic Graph Sampling for Online GNN Inference

Research article (Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025) · cited 10× · AI/ML
academia openalex:W4408029667
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Helios: Efficient Distributed Dynamic Graph Sampling for Online GNN Inference

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Helios: Efficient Distributed Dynamic Graph Sampling for Online GNN Inference is a scholarly article[1].

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  • Helios: Efficient Distributed Dynamic Graph Sampling for Online GNN Inference's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Helios: Efficient Distributed Dynamic Graph Sampling for Online GNN Inference. Retrieved May 24, 2026, from https://4ort.xyz/entity/helios-efficient-distributed-dynamic-graph-sampling-for-online-gnn-inference
MLA “Helios: Efficient Distributed Dynamic Graph Sampling for Online GNN Inference.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/helios-efficient-distributed-dynamic-graph-sampling-for-online-gnn-inference.
BibTeX @misc{4ortxyz_helios-efficient-distributed-dynamic-graph-sampling-for-online-gnn-inference_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Helios: Efficient Distributed Dynamic Graph Sampling for Online GNN Inference}}, year = {2026}, url = {https://4ort.xyz/entity/helios-efficient-distributed-dynamic-graph-sampling-for-online-gnn-inference}, note = {Accessed: 2026-05-24}}
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