According to @godofprompt, graph retrieval-augmented generation (Graph RAG) significantly surpasses traditional vector search by enabling multi-hop reasoning across 3-4 levels of data relationships, ...
Much of artificial intelligence (AI) in common use is dedicated to predicting people’s behavior. It tries to anticipate your next purchase, your next mouse-click, your next job move. But such ...
Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...
Abstract: Modeling the evolution process of industrial cascading faults by capturing causal relationships has achieved widespread attention in the attack detection and security control field. However, ...
CASCADE stands for Causality-Aware Single-Cell Adaptive Discover/Deduction/Design Engine. It is a deep learning-based bioinformatics tool for causal gene regulatory network discovery, counterfactual ...
This is the official repository for ACL 2025 (Findings) paper "Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery". This paper proposes MATMCD (Multi-Agent system ...
1 Language Academy, Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia 2 Department of Foreign Languages, Jining University, Jining, China This study ...
Introduction: Artificial intelligence (AI) has sparked a paradox in organizational behavior research: while it promises productivity gains, it simultaneously generates psychological strain and ...
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