Publications (18)
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
Siddhartha Shankar Das, S M Ferdous, Mahantesh M Halappanavar +2
We propose AGS-GNN, a novel attribute-guided sampling algorithm for Graph Neural Networks (GNNs) that exploits node features and connectivity structure of a graph while simultaneou…
Semi-Streaming Algorithms for Hypergraph Matching
Henrik Reinstädtler, S M Ferdous, Alex Pothen +2
We propose two one-pass streaming algorithms for the -hard hypergraph matching problem. The first algorithm stores a small subset of potential matching edges in a sta…
AMPS: A Real-time Mesh Cutting Algorithm for Surgical Simulations
Yu-Hong Yeung, Alex Pothen, Jessica Crouch
We present the AMPS algorithm, a finite element solution method that combines principal submatrix updates and Schur complement techniques, well-suited for interactive simulations o…
V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities
Siddhartha Shankar Das, Edoardo Serra, Mahantesh Halappanavar +2
Weaknesses in computer systems such as faults, bugs and errors in the architecture, design or implementation of software provide vulnerabilities that can be exploited by attackers…
AMPS: An Augmented Matrix Formulation for Principal Submatrix Updates with Application to Power Grids
Yu-Hong Yeung, Alex Pothen, Mahantesh Halappanavar +1
We present AMPS, an augmented matrix approach to update the solution to a linear system of equations when the matrix is modified by a few elements within a principal submatrix. Thi…
Succinct Graph Representations and Algorithmic Applications
Ahammed Ullah, Alex Pothen
We propose new graph representations that exploit dense local structure to improve time and space simultaneously. Given an undirected graph , we define a dual clique cover (DCC)…