activity
20172021
most citedMixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing

270 citations · 280 across the 5 of their papers we have counts for

collaborators

10 papers

cs.CR20213 cited

Identifying botnet IP address clusters using natural language processing techniques on honeypot command logs

Valentino Crespi, Wes Hardaker, Sami Abu-El-Haija +1

Computer security has been plagued by increasing formidable, dynamic, hard-to-detect, hard-to-predict, and hard-to-characterize hacking techniques. Such techniques are very often d…

cs.LG20212 cited

Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning

Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri +4

Graph Representation Learning (GRL) methods have impacted fields from chemistry to social science. However, their algorithmic implementations are specialized to specific use-cases…

cs.LG2021

Fast Graph Learning with Unique Optimal Solutions

Sami Abu-El-Haija, Valentino Crespi, Greg Ver Steeg +1

We consider two popular Graph Representation Learning (GRL) methods: message passing for node classification and network embedding for link prediction. For each, we pick a popular…

cs.CV2020

Zero-shot Synthesis with Group-Supervised Learning

Yunhao Ge, Sami Abu-El-Haija, Gan Xin +1

Visual cognition of primates is superior to that of artificial neural networks in its ability to 'envision' a visual object, even a newly-introduced one, in different attributes in…

cs.CV2020

End-to-end Learning of Compressible Features

Saurabh Singh, Sami Abu-El-Haija, Nick Johnston +3

Pre-trained convolutional neural networks (CNNs) are powerful off-the-shelf feature generators and have been shown to perform very well on a variety of tasks. Unfortunately, the ge…

cs.CL2019

Human Languages in Source Code: Auto-Translation for Localized Instruction

Chris Piech, Sami Abu-El-Haija

Computer science education has promised open access around the world, but access is largely determined by what human language you speak. As younger students learn computer science…