74 citations · 74 across the 5 of their papers we have counts for
5 papers
SieveIVF: Threshold-Aware IVF Execution for Large-Scale Training Data Deduplication
Zhisheng Hu, Zhifang Li, Junjie Chen +6
Embedding-based training data deduplication retrieves candidate duplicate edges above an application similarity threshold, but fixed-probe inverted-file (IVF) search ignores this p…
DMG: A Scalable and Efficient Memory-Disaggregated Graph Processing System
Yizou Chen, Tsun-Yu Yang, Zhisheng Hu +2
Traditional graph processing systems are built on monolithic servers, which couple a fixed ratio of compute and memory resources but often result in resource under-utilization in d…
Black-Box Performance Evaluation of Elastic Block Storage: Contract, Rate-Limiting Model, and Software Exploration
Yingjia Wang, Ming-Chang Yang
Elastic block storage (EBS) with the storage-compute disaggregated architecture is a key component in modern cloud infrastructure. EBS offers users storage resources in the form of…
A Representation Learning Framework for Property Graphs
Yifan Hou, Hongzhi Chen, Changji Li +2
Representation learning on graphs, also called graph embedding, has demonstrated its significant impact on a series of machine learning applications such as classification, predict…
Measuring and Improving the Use of Graph Information in Graph Neural Networks
Yifan Hou, Jian Zhang, James Cheng +4
Graph neural networks (GNNs) have been widely used for representation learning on graph data. However, there is limited understanding on how much performance GNNs actually gain fro…