3 citations · 8 across the 14 of their papers we have counts for
17 papers
RADE: Random Add-Drop Edge as a Regularizer
Danial Saber, Amirali Salehi-Abari
Graph Neural Networks (GNNs) suffer from overfitting and over-squashing of long-range information. Stochastic graph augmentations (e.g., edge deletion) regularize training against…
Over-Squashing in GNNs and Causal Inference of Rewiring Strategies
Danial Saber, Amirali Salehi-Abari
Graph neural networks (GNNs) have exhibited state-of-the-art performance across wide-range of domains such as recommender systems, material design, and drug repurposing. Yet messag…
Scalable Expressiveness through Preprocessed Graph Perturbations
Danial Saber, Amirali Salehi-Abari
Graph Neural Networks (GNNs) have emerged as the predominant method for analyzing graph-structured data. However, canonical GNNs have limited expressive power and generalization ca…
Stochastic Subgraph Neighborhood Pooling for Subgraph Classification
Shweta Ann Jacob, Paul Louis, Amirali Salehi-Abari
Subgraph classification is an emerging field in graph representation learning where the task is to classify a group of nodes (i.e., a subgraph) within a graph. Subgraph classificat…
PiXi: Password Inspiration by Exploring Information
Shengqian Wang, Amirali Salehi-Abari, Julie Thorpe
Passwords, a first line of defense against unauthorized access, must be secure and memorable. However, people often struggle to create secure passwords they can recall. To address…
Simplifying Subgraph Representation Learning for Scalable Link Prediction
Paul Louis, Shweta Ann Jacob, Amirali Salehi-Abari
Link prediction on graphs is a fundamental problem. Subgraph representation learning approaches (SGRLs), by transforming link prediction to graph classification on the subgraphs ar…
Sampling Enclosing Subgraphs for Link Prediction
Paul Louis, Shweta Ann Jacob, Amirali Salehi-Abari
Link prediction is a fundamental problem for graph-structured data (e.g., social networks, drug side-effect networks, etc.). Graph neural networks have offered robust solutions for…
Improving Peer Assessment with Graph Convolutional Networks
Alireza A. Namanloo, Julie Thorpe, Amirali Salehi-Abari
Peer assessment systems are emerging in many social and multi-agent settings, such as peer grading in large (online) classes, peer review in conferences, peer art evaluation, etc.…
Long Passphrases: Potentials and Limits
Christopher Bonk, Zach Parish, Julie Thorpe +1
Passphrases offer an alternative to traditional passwords which aim to be stronger and more memorable. However, users tend to choose short passphrases with predictable patterns tha…
A Study on Priming Methods for Graphical Passwords
Zach Parish, Amirali Salehi-Abari, Julie Thorpe
Recent work suggests that a type of nudge or priming technique called the presentation effect may potentially improve the security of PassPoints-style graphical passwords. These nu…
DeepGroup: Representation Learning for Group Recommendation with Implicit Feedback
Sarina Sajadi Ghaemmaghami, Amirali Salehi-Abari
Group recommender systems facilitate group decision making for a set of individuals (e.g., a group of friends, a team, a corporation, etc.). Many of these systems, however, either…
Distilling Knowledge via Intermediate Classifiers
Aryan Asadian, Amirali Salehi-Abari
The crux of knowledge distillation is to effectively train a resource-limited student model with the guide of a pre-trained larger teacher model. However, when there is a large dif…
Joint Variational Autoencoders for Recommendation with Implicit Feedback
Bahare Askari, Jaroslaw Szlichta, Amirali Salehi-Abari
Variational Autoencoders (VAEs) have recently shown promising performance in collaborative filtering with implicit feedback. These existing recommendation models learn user represe…
Password Guessers Under a Microscope: An In-Depth Analysis to Inform Deployments
Zach Parish, Connor Cushing, Shourya Aggarwal +2
Password guessers are instrumental for assessing the strength of passwords. Despite their diversity and abundance, little is known about how different guessers compare to each othe…
Geographical Security Questions for Fallback Authentication
Alaadin Addas, Julie Thorpe, Amirali Salehi-Abari
Fallback authentication is the backup authentication method used when the primary authentication method (e.g., passwords, fingerprints, etc.) fails. Currently, widely-deployed fall…
A Simple PTAS for the Dual Bin Packing Problem and Advice Complexity of Its Online Version
Allan Borodin, Denis Pankratov, Amirali Salehi-Abari
Recently, Renault (2016) studied the dual bin packing problem in the per-request advice model of online algorithms. He showed that given advice bits for each input item al…
On Conceptually Simple Algorithms for Variants of Online Bipartite Matching
Allan Borodin, Denis Pankratov, Amirali Salehi-Abari
We present a series of results regarding conceptually simple algorithms for bipartite matching in various online and related models. We first consider a deterministic adversarial m…