公开(公告)号：US20250080410A1

公开(公告)日：2025-03-06

申请号：US18457804

申请日：2023-08-29

Applicant: Cisco Technology, Inc.

Inventor： Daniel Shan-Shea Chen ,  Pengfei Sun ,  Qihong Shao ,  Gurvinder P. Singh

IPC: H04L41/069 ,  G06F40/166 ,  G06F40/30 ,  H04L41/0654 ,  H04L41/16

Abstract: Methods are provided for generating digests of network-related notifications specifically tailored to user's personas and adaptable across multiple timescale frequencies. Specifically, the methods involve obtaining user data of a user associated with an enterprise network and a plurality of network-related notifications. Each of the plurality of network-related notifications relates to network operations or network configurations. The methods further involve determining a network persona of the user in a context of the enterprise network based on the user data and generating a digest of the plurality of network-related notifications based on the network persona. The digest includes a semantic summary for each of the plurality of network-related notifications that is specific to the network persona. The methods further involve providing the digest for performing one or more actions associated with the enterprise network.

公开(公告)号：US20250150345A1

公开(公告)日：2025-05-08

申请号：US18502771

申请日：2023-11-06

Applicant: Cisco Technology, Inc.

Inventor： Pengfei Sun ,  Eric Siyuan Liang ,  Qihong Shao ,  Elissa E. Murphy

IPC: H04L41/08 ,  H04L41/0813 ,  H04L41/12 ,  H04L41/16

Abstract: A unified prompt-based network management system that involves an intelligent auto-prompt engine generating contextualized prompts for an artificial intelligence model. The artificial intelligence model generates instructions and/or solutions and adapts to different application scenarios based on an enterprise network knowledge and reverse inference(s). Specifically, methods are provided that involve obtaining input data related to a configuration or an operation of one or more assets in an enterprise network and generating a contextualized prompt based on the input data, network knowledge information of the enterprise network, and at least one reverse inference generated using an artificial intelligence model. The methods further involve providing the contextualized prompt to the artificial intelligence model for generating a tailored response to the input data, wherein the tailored response includes a set of actionable tasks to be performed with respect to the one or more assets of the enterprise network.

公开(公告)号：US20250077859A1

公开(公告)日：2025-03-06

申请号：US18461168

申请日：2023-09-05

Applicant: Cisco Technology, Inc.

Inventor： Pengfei Sun ,  Qihong Shao

IPC: G06N3/08 ,  G06N3/0455

Abstract: Methods are provided for generating distilled multimedia data sets tailored to user's persona and/or task(s) to be performed associated with an enterprise network and enable interactive contextual learning using a multi-modal knowledge graph. Methods involve obtaining multimedia data from one or more data sources related to operation or configuration of an enterprise network and determining context for generating a distilled multimedia data set based on at least one of user input and user persona. The methods further involve generating, based on the context, the distilled multimedia data set that includes a set of multimedia slices generated from the multimedia data using a multi-modal knowledge graph. The multi-modal knowledge graph is generated using a graph neural network and indicates relationships among a plurality of slices of the multimedia data. The methods further involve providing the distilled multimedia data set for performing one or more actions associated with the enterprise network.

公开(公告)号：US20240422069A1

公开(公告)日：2024-12-19

申请号：US18334735

申请日：2023-06-14

Applicant: Cisco Technology, Inc.

Inventor： Pengfei Sun ,  Qihong Shao ,  David C. White, JR.

IPC: H04L41/14 ,  H04L41/12 ,  H04L41/16

Abstract: A heterogeneous graph learning system generates and analyzes network implementations. The heterogeneous graph learning system includes obtaining information describing multiple network implementations including heterogeneous nodes. The heterogeneous graph learning system also includes generating a one-hop graph connecting a particular node of the heterogeneous nodes with a set of related nodes. The one-hop graph connects the particular node with the set of related nodes via corresponding edges. The heterogeneous graph learning system further includes transforming the one-hop graph into a weighted graph based on a Dynamic Meta Path Transformation (DMPT). In the DMPT, each of the corresponding edges connecting the particular node to a corresponding related node among the set of related nodes is associated with a corresponding weight.

公开(公告)号：US12231300B2

公开(公告)日：2025-02-18

申请号：US18334735

申请日：2023-06-14

Applicant: Cisco Technology, Inc.

Inventor： Pengfei Sun ,  Qihong Shao ,  David C. White, Jr.

IPC: G06F15/16 ,  H04L41/12 ,  H04L41/14 ,  H04L41/16

Abstract: A heterogeneous graph learning system generates and analyzes network implementations. The heterogeneous graph learning system includes obtaining information describing multiple network implementations including heterogeneous nodes. The heterogeneous graph learning system also includes generating a one-hop graph connecting a particular node of the heterogeneous nodes with a set of related nodes. The one-hop graph connects the particular node with the set of related nodes via corresponding edges. The heterogeneous graph learning system further includes transforming the one-hop graph into a weighted graph based on a Dynamic Meta Path Transformation (DMPT). In the DMPT, each of the corresponding edges connecting the particular node to a corresponding related node among the set of related nodes is associated with a corresponding weight.

公开(公告)号：US20240386066A1

公开(公告)日：2024-11-21

申请号：US18350374

申请日：2023-07-11

Applicant: Cisco Technology, Inc.

Inventor： Pengfei Sun ,  Daniel Shan-Shea Chen ,  Qihong Shao ,  Di Meng

IPC: G06F16/9536 ,  G06N5/022 ,  G06Q10/087

Abstract: Methods are provided for generating end-to-end solutions-based search results for multi-query search inquiry. The search results are generated using graph generative pre-trained transformers and a network knowledge base. A method involves obtaining at least one search query and inventory data that includes information about a plurality of enterprise assets and configuration of an enterprise network. The method further includes generating a contextual schema based on the inventory data. The contextual schema includes a plurality of query sub-graphs indicative of an intention of the at least one search query and generating a solution graph by performing machine learning with respect to the plurality of query sub-graphs and network domain knowledge data. The method further includes providing a response to the at least one search query based on the solution graph. The response is specific to the enterprise network.