A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...
Abstract: Building extraction from airborne LiDAR data is significant for the accurate modeling of urban structures and constitutes a pivotal step in urban 3-D reconstruction. However, in complex ...
Abstract: To enhance the performance and privacy of recommender systems in distributed settings, this paper proposes a federated recommendation model based on graph convolutional networks (GCNs).
Welcome to my 281 archive! This notes include implementations of basic data structures: union-find sets, unordered_map by hash table, AVL tree, graph represented by adjacency matrix&list and a lot ...
This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we ...