41 citations · 73 across the 4 of their papers we have counts for
5 papers
MQ-GNN: A Multi-Queue Pipelined Architecture for Scalable and Efficient GNN Training
Irfan Ullah, Young-Koo Lee
Graph Neural Networks (GNNs) are powerful tools for learning graph-structured data, but their scalability is hindered by inefficient mini-batch generation, data transfer bottleneck…
DAFOS: Dynamic Adaptive Fanout Optimization Sampler
Irfan Ullah, Young-Koo Lee
Graph Neural Networks (GNNs) are becoming an essential tool for learning from graph-structured data, however uniform neighbor sampling and static fanout settings frequently limit G…
RweetMiner: Automatic identification and categorization of help requests on twitter during disasters
Irfan Ullah, Sharifullah Khan, Muhammad Imran +1
Catastrophic events create uncertain situations for humanitarian organizations locating and providing aid to affected people. Many people turn to social media during disasters for…
Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues
Aftab Alam, Irfan Ullah, Young-Koo Lee
The proliferation of multimedia devices over the Internet of Things (IoT) generates an unprecedented amount of data. Consequently, the world has stepped into the era of big data. R…
Video Big Data Analytics in the Cloud: Research Issues and Challenges
Aftab Alam, Shah Khalid, Muhammad Numan Khan +3
On the rise of distributed computing technologies, video big data analytics in the cloud have attracted researchers and practitioners' attention. The current technology and market…