Ali Khan

ParaDyMS: Parallel Dynamic Motif Counting at Scale

Ali Khan, Nigel Tan, Jack D. Marquez, Michela Taufer et autres

Motifs in graphs (or networks) are subgraphs induced by a small set of vertices such as triangles and cliques. The frequency of motifs is used to compare and align networks across various domains, such as biology, epidemiology, and social sciences. Recent advances …

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Dependency Graphs for Summarization and Keyphrase Extraction

Yifan Guo, David L. Brock, А А Лин, Tam Doan et autres

We introduce a graph-based summarization and keyphrase extraction system that uses dependency trees as inputs for building a document graph. The document graph is built by connecting nodes containing lemmas and sentence identifiers after redirecting dependency links to emphasize semantically important entities. …

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Towards a Comprehensive Dataset for Next-Day Wildfire Prediction

Syed Haider Ali, Anish Goel, Aditya Singirikonda, Ali Khan et autres

Wildfires pose a significant threat with an increased risk of loss of life and property damage in recent years. Traditionally catastrophe modeling has relied on physical models to understand and forecast the behavior of such catastrophic events. In large part this has …

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DocTalk: Combining Dependency-Based Text Graphs and Deep Learning into a Practical Dialog Engine

Yifan Guo, Weilun Sun, Ali Khan, Tam Doan et autres

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