C2. 高效的节点间关系建模：在图学习领域，节点之间常常存在错综复杂的依赖关系，模型需要对节点的局部和...
However, both the algorithms minimize the inter-node communication efficiently in order to improve the performance of a distributed system.The University of Toledo.Gadde, Srimanth.The University of Toledo.Gadde, S.: Graph partitioning algorithms for minimizing inter-node communication on a distributed ...
We describe the terminology associated with graph partitioning, the complexity of computing good separators, and graphs that have good separators. We then discuss early algorithms for graph partitioning, followed by three new algorithms based on geometric, algebraic, and multilevel ideas. The algebraic...
2016. Recent Advances in Graph Partitioning. Springer International Publishing, Cham, 117–158. [30]Caldwell Andrew E., Kahng Andrew B., and Markov Igor L.. 2000. Improved algorithms for hypergraph bipartitioning. In Proceedings of the Asia and South Pacific Design Automation Conference (ASP-...
Camarda K.V., Stadtherr M.A., "Matrix ordering strategies for process engineering: graph partitioning algorithms for parallel computation", Computers and Chemical Engineering 23, (1999) 1063-1073.Kyle V. Camarda , Mark A. Stadtherr. Matrix ordering strategies for process engineering: graph ...
graph partitioning which enables a well principled design of scalable, streaming graph partitioning algorithms that are amenable to distributed implementation. We show that many previously proposed methods are special instances of this framework, we derive a novel one-pass, streaming ...
Graph partitioning algorithmsspectral algorithmsFiedler vectoreigenvalue solversThe problem of partitioning a graph such that the number of edges incident to vertices in different partitions is minimized, arises in many contexts. Some examples include its recursive application for minimizing fill-in in ...
2.2 Graph Coarsening Graph partitioning algorithms such as KL [5] and FM [6] are ef- fective for small graphs. For a large graph, a widely adopted ap- proach is to "coarsen" the graph until its size is small enough for KL or FM. The idea is known as multi-level graph partitioning...
Recently, a number of researchers have investigated a class of graph partitioning algorithms that reduce the size of the graph by collapsing vertices and edges, partition the smaller graph, and then uncoarsen it to construct a partition for the original graph (Bui and Jones, Proc. of the 6th...
Partitioning large graphs is difficult, especially when performed in the limited models of computation afforded to modern large scale computing systems. In this work we introduce restreaming graph partitioning and develop algorithms that scale similarly to streaming partitioning algorithms yet empirically per...