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New Work-Avoidance Techniques Accelerate Maximum Clique Search

New Work-Avoidance Techniques Accelerate Maximum Clique Search

A new study presented at the 2025 IEEE IPDPS in Milan shows work-avoidance techniques can speed maximum clique search by up to 38.9× over the PMC algorithm and 11× over MC-BRB. getnews.me/new-work-avoidance-techn... #maximumclique #graphmining #ieeeipdps

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Finding Densest Subgraphs with Edge-Color Constraints We consider a variant of the densest subgraph problem in networks with single or multiple edge attributes. For example, in a social network, the edge attributes may describe the type of relationship b...

🚀 In our WebConf’24 paper, we tackle a new twist on densest subgraphs: finding diverse communities via edge-color constraints! 🌈🔍

We prove hardness and give a fast approximation for large sparse graphs. 📈

With H. Wang & A. Gionis

arxiv.org/abs/2402.09124

#WebConf24 #GraphMining #Diversity

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An Edge-Based Decomposition Framework for Temporal Networks A temporal network is a dynamic graph where every edge is assigned an integer time label that indicates at which discrete time step the edge is available. We consider the problem of hierarchically dec...

🚀Our WSDM'25 paper introduces a new edge-based framework for decomposing temporal networks.

⚡️Scales to 100M+ edges, reveals structures in dynamic data—eg, misinformation patterns on Twitter

📄 arxiv.org/abs/2309.11843

With A.Konstantinidis & G.Italiano
#temporalgraphs #graphmining #misinformation

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