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add closing </li> tags
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graphx/src/main/scala/org/apache/spark/graphx/lib/TriangleCount.scala

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@@ -28,17 +28,17 @@ import org.apache.spark.graphx.PartitionStrategy.EdgePartition2D
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* The algorithm is relatively straightforward and can be computed in three steps:
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*
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* <ul>
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* <li> Compute the set of neighbors for each vertex
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* <li> For each edge compute the intersection of the sets and send the count to both vertices.
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* <li> Compute the sum at each vertex and divide by two since each triangle is counted twice.
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* <li> Compute the set of neighbors for each vertex</li>
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* <li> For each edge compute the intersection of the sets and send the count to both vertices.</li>
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* <li> Compute the sum at each vertex and divide by two since each triangle is counted twice.</li>
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* </ul>
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*
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* There are two implementations. The default `TriangleCount.run` implementation first removes
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* self cycles and canonicalizes the graph to ensure that the following conditions hold:
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* <ul>
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* <li> There are no self edges
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* <li> All edges are oriented src > dst
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* <li> There are no duplicate edges
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* <li> There are no self edges</li>
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* <li> All edges are oriented src > dst</li>
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* <li> There are no duplicate edges</li>
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* </ul>
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* However, the canonicalization procedure is costly as it requires repartitioning the graph.
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* If the input data is already in "canonical form" with self cycles removed then the

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