A2Z/ ├── Problems/ # Solved problems organized by difficulty │ ├── Easy/ # Easy level problems │ ├── Medium/ # Medium level problems │ └── Hard/ # Hard level problems │ ├── DataStructures/ # Core data ...

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...

“Directed self-assembly (DSA) of block copolymers (BCPs) has long been included in the semiconductor roadmap as a lithographic pathway to enable continued device scaling. Tremendous progress has been ...

Representing the brain as a complex network typically involves approximations of both biological detail and network structure. Here, we discuss the sort of biological detail that may improve network ...

Abstract: This paper presents a novel approach to graph learning, GL-AR, which leverages estimated autoregressive coefficients to recover undirected graph structures from time-series graph signals ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...

Abstract: Graph structure learning (GSL) has emerged as a promising approach for optimizing graph structures to enhance downstream task performance. However, the quadratic complexity of GSL renders it ...

Welcome to the most comprehensive Java Data Structures and Algorithms course designed to transform complete beginners into expert problem solvers on platforms like LeetCode, HackerRank, and coding ...