InfoWorld

7 newer data science tools you should be using with Python

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
Frontiers

Anomaly detection in medical via multimodal foundation models

Introduction: Recent advances in artificial intelligence have created opportunities for medical anomaly detection through multimodal learning frameworks. However, traditional systems struggle to ...
GitHub

Deep Graph Anomaly Detection: A Survey and New Perspectives

Deep Graph Anomaly Detection: A Survey and New Perspectives A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work ...
Scientific Research Publishing

Kim, H., Lee, B.S., Shin, W. and Lim, S. (2022) Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges. IEEE Access, 10, 111820-111829.

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 ...
Scientific Research Publishing

Daniel, G.V., Chandrasekaran, K., Meenakshi, V. and Paneer, P. (2023) Robust Graph Neural-Network-Based Encoder for Node and Edge Deep Anomaly Detection on Attributed Networks ...

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 ...
IEEE

Anomaly Detection Using Graph Anomaly Rules

Abstract: Anomaly detection in attribute networks is utilized to discover patterns of individuals or groups that deviate from the majority, and is widely used in areas such as e-commerce and social ...
marktechpost

Meet LangGraph Multi-Agent Swarm: A Python Library for Creating Swarm-Style Multi-Agent Systems Using LangGraph

LangGraph Multi-Agent Swarm is a Python library designed to orchestrate multiple AI agents as a cohesive “swarm.” It builds on LangGraph, a framework for constructing robust, stateful agent workflows, ...
IEEE

Anomaly Detection Over Multi-Relational Graphs Using Graph Structure Learning and Multi-Scale Meta-Path Graph Aggregation

Abstract: Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly ...
Geeky Gadgets

Build a Powerful Python Chatbot in Minutes with LangGraph

Building a chatbot can feel like an overwhelming task, especially when you’re juggling multiple tools and trying to ensure everything works seamlessly. If you’ve ever found yourself stuck between ...
blockchain

LangGraph 0.3 Launches with Prebuilt AI Agents in Python and JavaScript

LangGraph 0.3 introduces prebuilt AI agents, enhancing its framework for developers. This update, supported by tech giants, aims to simplify AI agent creation and foster community contributions.