Graph @ WWW

2014

• Large graph mining: patterns, cascades, fraud detection, and algorithms.
• High quality, scalable and parallel community detection for large real graphs.
• RDF analytics: lenses over semantic graphs.
• Reduce and aggregate: similarity ranking in multi-categorical bipartite graphs.
• Demographics, weather and online reviews: a study of restaurant recommendations.
• Attributed graph models: modeling network structure with correlated attributes.

2015

• Recommendation Subgraphs for Web Discovery.
• Efficient Densest Subgraph Computation in Evolving Graphs.
• Compressed Indexes for String Searching in Labeled Graphs.
• Path Sampling: A Fast and Provable Method for Estimating 4-Vertex Subgraph Counts.
• Finding the Hierarchy of Dense Subgraphs using Nucleus Decompositions.
• Density-friendly Graph Decomposition.
• Random Walk TripleRush: Asynchronous Graph Querying and Sampling.
• The K-clique Densest Subgraph Problem.
• Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation.

2016

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