Abstract: Graph unlearning has emerged as a pivotal method to delete information from an already trained graph neural network (GNN). One may delete nodes, a class of nodes, edges, or a class of edges.

Abstract: Multimodal knowledge graph completion (MMKGC) enhances the precision and breadth of application of knowledge graphs by integrating rich data from various modalities, steadily increasing its ...

Overview Structured Python learning path that moves from fundamentals (syntax, loops, functions) to real data science tools ...

The MCP Dev Summit featured more than 50 sponsors offering MCP and related agentic AI products for the enterprise.

Which technologies, designs, standards, development approaches, and security practices are gaining momentum in multi-agent ...

That gap between what enterprises need to automate and what their orchestration tools can handle is the overlooked AI ...

Quant Developer – Private Equity (Data & Analytics) ...

Therefore, it has the potential to provide neurosurgeons with rapid and reliable decision support, especially in emergency conditions. The knowledge graph enhanced deep-learning model can exhibit ...

A full-stack AI system that automatically extracts entities and relationships from large email datasets, builds a semantic knowledge graph, and provides intelligent hybrid retrieval-augmented ...

Stock_Explainable/ ├── src/ # Main source code │ ├── data_acquisition/ # Data fetching (yfinance, FRED, news) │ ├── preprocessing/ # Text ...