results = query_graph_with_llm(llm, graph, query) print(format_final_output(results)) CypherQuery: MATCH (p:Product)<-[:AVAILABLE_FOR]-(c:Customer) WHERE c.age <30 RETURN p Analysis: Based on the query results regarding financial products available for young customers, we can analyze and...
Your enterprise is driven by connections – now it's time for your database to do the same. Click below to download and dive into Neo4j for yourself – or download theGraph Algorithmswhite paper to learn about these building blocks for better AI context. ...
Graph generation was updated for readibility (now done inGenerator.py), as well as some bugs related to how implicit Hs and chirality were handled on the GPU (not used before, despite being available for preprocessing/training). Data analysis code was updated for readibility (now done inAna...
A Robust and Scalable Graph Neural Network for Accurate Single Cell Classification Overview Single-cell RNA sequencing (scRNA-seq) techniques provide high-resolution data on cellular heterogeneity in diverse tissues, and a critical step for the data analysis is cell type identification. Tradi-tional me...
In graph analysis, a classic task consists in computing similarity measures between (groups of) nodes. In latent space random graphs, nodes are associated to unknown latent variables. One may then seek to compute distances directly in the latent space, using only the graph structure. In this pa...
Machine Learning for Graphs(基于图的机器学习) Traditional Methods for ML on Graphs(图数据上的传统方法) Node Embeddings(节点嵌入) Link Analysis: PageRank(PageRank) Label Propagation for Node Classification(用于节点分类的标签传播) Graph Neural Networks(图神经网络) ...
几何深度学习:特别适用于处理带有几何形状的图(graph)或者流形(manifold),例如原子和分子。这类深度学习方法在特征提取过程中,能够保持对象的拓扑特征(即几何不变性),从而更好地捕捉数据的几何结构。 强化学习:在奖励函数的驱动下,agent(智能体)通过与环境的交互来学习最优的行为策略,以实现奖励最大化。
2. 智能体（Agent）↔由多节点构成的图（Graph of Nodes）3. 蜂群（Swarm）↔复合图（Composite of Graphs）有了这套定义方法，就能将所关注的问题转化为“图”的优化问题，包括：a. 合作与通信（Collaboration and Communication）↔图之间的信息流动（Information Flow between Graphs）b. 编排（Orchestration）...
MetadataForArchival Microsoft Entra ID Mobile App Mobile Offline Profile Mobile Offline Profile Item Mobile Offline Profile Item Association MobileOfflineProfileExtension MobileOfflineProfileItemFilter Model-driven App Module Run Detail Monthly Fiscal Calendar Ms Graph Resource To Subscription Multistep Fo...
Machine Learning for Graphs(基于图的机器学习) Traditional Methods for ML on Graphs(图数据上的传统方法) Node Embeddings(节点嵌入) Link Analysis: PageRank(PageRank) Label Propagation for Node Classification(用于节点分类的标签传播) Graph Neural Networks(图神经网络) ...