Abstract: Bipartite spectral graph partitioning (BSGP) method as a co-clustering method, has been widely used in document clustering, which simultaneously clusters documents and words by making full ...
docker build -f CPU.Dockerfile -t satgnn . (swap CPU. for GPU. if on NVIDIA GPUs) Problem: Managing mega-constellations (e.g., Starlink, OneWeb) involves optimizing communication paths, maintaining ...
In the contemporary technological landscape, ensuring confidentiality is a paramount concern addressed through various skillsets. Cryptography stands out as a scientific methodology for safeguarding ...
Abstract: Feature selection plays an important role in data analysis, yet traditional graph-based methods often produce suboptimal results. These methods typically follow a two-stage process: ...
Can You Chip In? We’re celebrating our 1 trillionth archived web page. If you find our library useful, learn how you can help us fundraise! Can You Chip In? We’re celebrating our 1 trillionth archived ...
Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networks
Background: Long non-coding RNAs (lncRNAs) play crucial roles in numerous biological processes. Investigation of the lncRNA-protein interaction contributes to discovering the undetected molecular ...
I'm trying to make a comparison of the maximum_weighted_matching and an implementation of the auction algorithm. The problem is that when I run the MWM on a not fully connected bipartite graph like ...
The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic research in the design, development, analysis, and scalability of randomized algorithms for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback