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GC 2019: Laguna Hills, CA, USA

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First International Conference on Graph Computing, GC 2019, Laguna Hills, CA, USA, September 25-27, 2019. IEEE 2019, ISBN 978-1-7281-4129-9
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Gregory Z. Gutin:
The Workflow Satisfiability Problem with User-Independent Constraints. 1-4
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Niki Pavlopoulou, Edward Curry:
Using Embeddings for Dynamic Diverse Summarisation in Heterogeneous Graph Streams. 5-12
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Piyush Yadav, Edward Curry:
VEKG: Video Event Knowledge Graph to Represent Video Streams for Complex Event Pattern Matching. 13-20
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Maria Krommyda, Verena Kantere:
Understanding SPARQL Endpoints through Targeted Exploration and Visualization. 21-28
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Joseph R. Barr, Peter Shaw, Faisal N. Abu-Khzam, Jikang Chen:
Combinatorial Text Classification: the Effect of Multi-Parameterized Correlation Clustering. 29-36
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  - conf/gc/PorrierM19
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Carole Porrier, Alexandre Blondin Massé:
The Leaf Function for Graphs Associated with Penrose Tilings. 37-44
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Soohyeong Lee, Ju-Whan Kim, Youngmin Oh, Joo Hyuk Jeon:
Visual Question Answering over Scene Graph. 45-50
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Venkata Rohit Jakkula, George Karypis:
Streaming and Batch Algorithms for Truss Decomposition. 51-59
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  - conf/gc/MuramudaligeHJR19
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Shashika Ranga Muramudalige, Benjamin W. K. Hung, Anura P. Jayasumana, Indrakshi Ray:
Investigative Graph Search using Graph Databases. 60-67
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Atsutake Kosuge, Takashi Oshima:
An Object-Pose Estimation Acceleration Technique for Picking Robot Applications by Using Graph-Reusing k-NN Search. 68-74
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Alexandra Brintrup, Supun Perera:
Quantifying Outsourcing Risk Arising from Product Interdependencies in Supply Networks. 75-82
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Arpit Mathur, Sai Kumar Juguru, Magdalini Eirinaki:
A Graph-Based Recommender System for Food Products. 83-87
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Monica Golahalli Seenappa, Katerina Potika, Petros Potikas:
Short Paper: Graph Classification with Kernels, Embeddings and Convolutional Neural Networks. 88-93

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