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Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation
Graph Neural Network (GNN) training and inference involve significant challenges of scalability with respect to both model sizes and …
Shuang Wang, Bahaeddin ERAVCI, Rustam Guliyev, Hakan Ferhatosmanoglu
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Topic-Based Influence Computation in Social Networks Under Resource Constraints
As social networks are constantly changing and evolving, methods to analyze dynamic social networks are becoming more important in …
Kaan Bingöl, Bahaeddin ERAVCI, Çağrı Özgenç Etemoğlu, Hakan Ferhatosmanoglu, Buğra Gedik
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Diverse Relevance Feedback for Time Series with Autoencoder Based Summarizations
We present a relevance feedback based browsing methodology using different representations for time series data. The outperforming …
Bahaeddin ERAVCI, Hakan Ferhatosmanoglu
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Diversity Based Relevance Feedback for Time Series Search
We propose a diversity based relevance feedback approach for time series data to improve the accuracy of search results. We first …
Bahaeddin ERAVCI, Hakan Ferhatosmanoglu
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Automatic Radar Antenna Scan Type Recognition in Electronic Warfare
We propose a novel and robust algorithm for antenna scan type (AST) recognition in electronic warfare (EW). The stages of the algorithm …
Billur Barshan, Bahaeddin ERAVCI
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