Feb 21, 2020 · This includes clustering bipartite graphs across a range of parameters, detecting motif-rich clusters in an email network and a food web, and ...

Aug 20, 2020 · This includes clustering bipartite graphs across a range of parameters, detecting motif-rich clusters in an email network and a food web, and ...

Aug 27, 2020 · This includes clustering bipartite graphs across a range of parameters, detecting motif-rich clusters in an email network and a food web, and ...

This work introduces the first constant-factor approximation for bicluster deletion, the task of removing a minimum number of edges to partition a bipartite ...

For both hypergraph and bipartite objectives, we identify relevant parameter regimes that are equivalent to existing objectives and share their (polynomial-time) ...

ParamCC. Code for algorithms and experiments for. "Parametric correlation clustering in hypergraphs and bipartite graphs" Nate Veldt, Anthony Wirth, ...

When done carefully, applying Pivot to the derived graph can yield approximation guarantees for different variants of correlation clustering [41,43, 45] . This ...

Duration: 3:06
Posted: Sep 7, 2020

Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs Nate Veldt, Anthony Wirth, David F. Gleich SIGKDD Conference on Knowledge Discovery ...

This enables us to develop principled approaches for clustering datasets with different node types (bipartite graphs) or multiway relationships (hypergraphs).