December 2019 – BigData and VLDB

Four papers presented at IEEE BigData 2019:

• DAOC: Stable Clustering of Large Networks
• Revisiting Text and Knowledge Graph Joint Embeddings: The Amount of Shared Information Matters!
• CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding and

• Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection

• Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series accepted at VLDB 2020