12 citations · 48 across the 17 of their papers we have counts for
20 papers
TemporalGraphLLM: Temporal Graph Neural Networks with Large Language Models for Dynamic Text-Attributed Graphs
Moran Beladev, Or Eitan, Gilad Katz +1
Dynamic text-attributed graphs (DTAGs), where nodes, edges, and textual attributes evolve over time, are crucial in applications such as social networks, citation graphs, and knowl…
Compact Latent Coordination for Autonomous Vehicles at Unsignalized Intersections
Gil Lifshits, Igal Bilik, Gilad Katz
Coordinating autonomous vehicles at unsignalized intersections remains a critical challenge for multi-agent reinforcement learning (MARL) systems, which typically struggle with com…
Detecting Anomalous Network Communication Patterns Using Graph Convolutional Networks
Yizhak Vaisman, Gilad Katz, Yuval Elovici +1
To protect an organizations' endpoints from sophisticated cyberattacks, advanced detection methods are required. In this research, we present GCNetOmaly: a graph convolutional netw…
ReMark: Receptive Field based Spatial WaterMark Embedding Optimization using Deep Network
Natan Semyonov, Rami Puzis, Asaf Shabtai +1
Watermarking is one of the most important copyright protection tools for digital media. The most challenging type of watermarking is the imperceptible one, which embeds identifying…
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection
Orel Lavie, Asaf Shabtai, Gilad Katz
Many challenging real-world problems require the deployment of ensembles multiple complementary learning models to reach acceptable performance levels. While effective, applying th…
jTrans: Jump-Aware Transformer for Binary Code Similarity
Hao Wang, Wenjie Qu, Gilad Katz +5
Binary code similarity detection (BCSD) has important applications in various fields such as vulnerability detection, software component analysis, and reverse engineering. Recent s…