Artificial intelligence coding startup Zencoder today unveiled a new orchestration tool that it says will help enterprises move away from unproductive “vibe coding” to a more disciplined and ...
This paper introduces a refined graph encoder embedding method, enhancing the original graph encoder embedding through linear transformation, self-training, and hidden community recovery within ...
DNA sequencing is one of today's most critical scientific fields, powering leaps in humanity's understanding of genetic causes of cancer, neurodegenerative diseases, and diabetes. One issue facing the ...
Code repository for workshop paper "Pretraining Graph State Encoders for microRTS using Graph Self-Supervised Learning" - Teravolt/microrts-graph-state-encoder-gssl ...
Abstract: Graph-structured data presents challenges for natural language question answering due to its non-Euclidean topology and task-specific requirements. To solve this, we propose Gemini-GraphQA, ...
ABSTRACT: Drug repositioning aims to identify new therapeutic applications for existing drugs offering a faster and more cost-effective alternative to traditional drug discovery. Since approved drugs ...
Abstract: This paper presents a novel auto-encoder based end-to-end channel encoding and decoding. It integrates deep reinforcement learning (DRL) and graph neural networks (GNN) in code design by ...
In this hands-on tutorial, we bring the core principles of the Model Context Protocol (MCP) to life by implementing a lightweight, context-aware AI assistant using LangChain, LangGraph, and Google’s ...
Software maintenance is an integral part of the software development lifecycle, where developers frequently revisit existing codebases to fix bugs, implement new features, and optimize performance. A ...
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