3 citations · 4 across the 4 of their papers we have counts for
5 papers
Scaffold: Support Graph Theory Based Sparsification for Graph Neural Networks
Siddhartha Shankar Das, Sai Karthik Navuluru, S M Ferdous +7
Graph neural networks (GNNs) rely on message passing over graph edges, making their computational and memory costs strongly dependent on graph density. Graph sparsification offers…
Inferential SIR-GN: Scalable Graph Representation Learning
Janet Layne, Edoardo Serra
Graph representation learning methods generate numerical vector representations for the nodes in a network, thereby enabling their use in standard machine learning models. These me…
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…
ChoiceGAPs: Competitive Diffusion as a Massive Multi-Player Game in Social Networks
Edoardo Serra, Francesca Spezzano, V. S. Subrahmanian
We consider the problem of modeling competitive diffusion in real world social networks via the notion of ChoiceGAPs which combine choice logic programs due to Sacca` and Zaniolo a…
Multi-Sorted Inverse Frequent Itemsets Mining
Domenico Sacca', Edoardo Serra, Pietro Dicosta +1
The development of novel platforms and techniques for emerging "Big Data" applications requires the availability of real-life datasets for data-driven experiments, which are howeve…