Our maintenance algorithm takes as input the triangle count query Q and a database D and maintains the result of Q under a sequence of single-tuple updates. We.
Apr 9, 2018 · We consider the problem of incrementally maintaining the triangle count query under single-tuple updates to the input relations.
To incrementally maintain the triangle count under single-tuple updates, existing incremental view maintenance (IVM) approaches need linear time. For instance, ...
Abstract. We consider the problem of incrementally maintaining the triangle count query under single-tuple updates to the input relations.
Maintain the triangle count Q under single-tuple updates to R, S, and T! R. T. S. A. B. C. Q counts the number of tuples in the ...
We consider the problem of incrementally maintaining the triangle count query under single-tuple updates to the input relations.
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To incrementally maintain the triangle count under single-tuple updates, existing incremental view maintenance (IVM) approaches need linear time. For instance, ...
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Mar 25, 2019 · Abstract. We consider the problem of incrementally maintaining the triangle count query under single-tuple updates to the input relations.
As the database evolves under updates, IVM needs to rebalance the heavy-light partitions to account for a new database size and updated degrees of data values.
Jan 2, 2022 · The number of triangles can be efficiently found by finding nodes that are both neighbors of neighbors and direct neighbors of a same node.