그래프 튜토리얼 1화 : Main Concept of Graph Neural Network
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25년 11월 2주차 그래프 오마카세
GraphFrames: Architectural Evolution from GraphX for Big Data and AI Applications GraphFrames: an integrated API for mixing graph and relational queriesGraph data is prevalent in many domains, but it has usually required specialized engines to analyze. This design is onerous for users and precludes optimization across complete workflows. We…OpenReview.
25년 11월 1주차 그래프 오마카세
Verifying Chain-of-Thought Reasoning via Its Computational Graph Verifying Chain-of-Thought Reasoning via Its Computational GraphCurrent Chain-of-Thought (CoT) verification methods predict reasoning correctness based on outputs (black-box) or activations (gray-box), but offer limited insight into why a computation fails. We introduce a white-box method: Circuit-based Reasoning Verification (CRV). We hypothesize that attribution
25년 10월 4주차 그래프 오마카세
Introducing GraphQA: An Agent for Asking Graphs Questions Introducing GraphQA: An Agent for Asking Graphs Questions | CatioGraphQA is Catio’s new open-source agent for natural-language questions over architecture graphs, fusing LLMs with graph algorithms to deliver fast, structure-aware answers for dependencies, flows, and system reasoning.catio-logo-blueIman MakaremiGitHub - catio-tech/graphqa:
25년 10월 3주차 그래프 오마카세
GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial DataAlthough data that can be naturally represented as graphs is widespread in real-world applications across diverse industries, popular graph ML benchmarks for node property prediction only cover a surprisingly narrow set