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Time-evolving graph processing at scale — Anand Iyer (2016) | RDL Network
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Time-evolving graph processing at scale
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Ion Stoica
University of California, Berkeley
Time-evolving graph processing at scale
Article
2016
en
Authors
+1 more
AI
Anand Iyer
LL
Li Erran Li
TD
Tathagata Das
Abstract
1 min read
Time-evolving graph-structured big data arises naturally in many application domains such as social networks and communication networks. However, existing graph processing systems lack support for efficient computations on dynamic graphs.
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