33 citations · 34 across the 3 of their papers we have counts for
8 papers
Scaling Knowledge Graph Embedding Models
Nasrullah Sheikh, Xiao Qin, Berthold Reinwald +1
Developing scalable solutions for training Graph Neural Networks (GNNs) for link prediction tasks is challenging due to the high data dependencies which entail high computational c…
BI-REC: Guided Data Analysis for Conversational Business Intelligence
Venkata Vamsikrishna Meduri, Abdul Quamar, Chuan Lei +2
Conversational interfaces to Business Intelligence (BI) applications enable data analysis using a natural language dialog in small incremental steps. To truly unleash the power of…
Medical Entity Disambiguation Using Graph Neural Networks
Alina Vretinaris, Chuan Lei, Vasilis Efthymiou +2
Medical knowledge bases (KBs), distilled from biomedical literature and regulatory actions, are expected to provide high-quality information to facilitate clinical decision making.…
To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams
Olga Poppe, Chuan Lei, Lei Ma +2
Complex event processing (CEP) systems continuously evaluate large workloads of pattern queries under tight time constraints. Event trend aggregation queries with Kleene patterns a…
Sharon: Shared Online Event Sequence Aggregation
Olga Poppe, Allison Rozet, Chuan Lei +2
Streaming systems evaluate massive workloads of event sequence aggregation queries. State-of-the-art approaches suffer from long delays caused by not sharing intermediate results o…
GRETA: Graph-based Real-time Event Trend Aggregation
Olga Poppe, Chuan Lei, Elke A. Rundensteiner +1
Streaming applications from algorithmic trading to traffic management deploy Kleene patterns to detect and aggregate arbitrarily-long event sequences, called event trends. State-of…