activity
20162026
most citedGraph Neural Networks with Continual Learning for Fake News Detection from Social Media

78 citations · 173 across the 34 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.DC2019

Optimal Multi-Level Interval-based Checkpointing for Exascale Stream Processing Systems

Sachini Jayasekara, Aaron Harwood, Shanika Karunasekera

State-of-the-art stream processing platforms make use of checkpointing to support fault tolerance, where a "checkpoint tuple" flows through the topology to all operators, indicatin…

cs.DC2019★ 28 cited

A Utilization Model for Optimization of Checkpoint Intervals in Distributed Stream Processing Systems

Sachini Jayasekara, Aaron Harwood, Shanika Karunasekera

State-of-the-art distributed stream processing systems such as Apache Flink and Storm have recently included checkpointing to provide fault-tolerance for stateful applications. Thi…

cs.LG2019★ 2 cited

USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity

Amila Silva, Shanika Karunasekera, Christopher Leckie +1

Building spatiotemporal activity models for people's activities in urban spaces is important for understanding the ever-increasing complexity of urban dynamics. With the emergence…

eess.SY2019★ 4 cited

Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories

Udesh Gunarathna, Hairuo Xie, Egemen Tanin +2

Traditional traffic optimization solutions assume that the graph structure of road networks is static, missing opportunities for further traffic flow optimization. We are intereste…

cs.SI2019★ 1 cited

Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification

Yi Han, Shanika Karunasekera, Christopher Leckie +1

Compared with traditional news media, social media nowadays provides a richer and more timely source of news. We are interested in multi-spatial level event detection from geo-tagg…