2 papers
cs.LG2024
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
Mitchell Keren Taraday, Almog David, Chaim Baskin
Message Passing Graph Neural Networks (MPGNNs) have emerged as the preferred method for modeling complex interactions across diverse graph entities. While the theory of such models…
cs.LG2022
Graph Representation Learning via Aggregation Enhancement
Maxim Fishman, Chaim Baskin, Evgenii Zheltonozhskii +3
Graph neural networks (GNNs) have become a powerful tool for processing graph-structured data but still face challenges in effectively aggregating and propagating information betwe…