graph theory,network topology,power system analysis computing,real-time systemsWith the developing trends of electric power system, it is more critical and challenging to monitor and process the system topology
The marriage of random resistive memory and ESGNN not only retains the boost of energy–area efficiency thanks to in-memory computing but also makes use of the intrinsic stochasticity of dielectric breakdown to provide low-cost and nanoscale hardware random weights of ESGNN. Moreover, the echo ...
When something appears totally anomalous—for example, a person who stays within the San Francisco Bay Area most of the time suddenly making late-night purchases in Florida—it flags it as potentially fraudulent. The computing power needed for this is simplified significantly with graph analytics. ...
A factor graph is defined as a graphical representation that shows the similarity between factor-graphs for different power-free languages, allowing for the derivation of asymptotic formulas for specific functions in computer science. AI generated definition based on: Computer Science Review, 2012 ...
A 'Communication Graph' is defined as a type of graph in which nodes represent entities like routers or transceiver pairs, and edges represent connections like physical links or interference relationships in communication networks. AI generated definition based on: Computer Communications, 2022 ...
当GPU显存不够时,LLM和Embedding模型的调用可能会超时,在GraphRAG进行实体抽取时会引起APITimeoutError(在~/output/xxxxx/reports/indexing-engine.log中可以看到,与logs.json中的错误输出是一致的,但是格式更易阅读): The above exception was the direct cause of the following exception: Traceback (most recent ...
Machine learning plays an increasingly important role in many areas of chemistry and materials science, being used to predict materials properties, accelerate simulations, design new structures, and predict synthesis routes of new materials. Graph neural networks (GNNs) are one of the fastest growing ...
is a word over the group generators and every \(x_i\) is a binary encoded integer (such a tuple is called a power word ); the question is whether \(u_1^{x_1} u_2^{x_2}\cdots u_n^{x_n}\) evaluates to the group identity of g . this problem naturally arises in the ...
Graph-theoretic methods, in various forms, have proven particularly useful in linguistics, since natural language often lends itself well to discrete structure. Traditionally, syntax and compositional semantics follow tree-based structures, whose expressive power lies in the principle of compositionality, ...
Runtime systems can significantly reduce the cognitive complexity of scientific applications, narrowing the gap between systems engineering and domain scie