IEEE

SimE: A Knowledge Graph Embedding Model to Encode Self-Similar Structures Through Algebraic and Geometric Transformations

Abstract: Knowledge Graphs (KGs), with their intricate hierarchies and semantic relationships, present unique challenges for graph representation learning, necessitating tailored approaches to ...
GitHub

Data Structures and Algorithms implemented using Python.

Learn Python and master DSA. Python is not only a joy to use, it is also the best choice for interviews as you can write code in the fastest way due to the conciseness and intuitiveness of Python. The ...
InfoQ

DeepSeek-V3.2 Outperforms GPT-5 on Reasoning Tasks

V3.2, a family of open-source reasoning and agentic AI models. The high compute version, DeepSeek-V3.2-Speciale, performs ...
IEEE

Enhancing Graph Structure Learning via Motif-Driven Hypergraph Construction

Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...
GitHub

Hitesh-9755/Data-Structures-Algorithms

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