Patents by Inventor Toyotaro Suzumura

Toyotaro Suzumura has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11537852
    Abstract: A system includes a plurality of graph convolutional networks corresponding to a plurality of time steps, each network modelling a graph including nodes and edges, and in turn including a plurality of graph convolution units; an evolving mechanism; and an output layer. Each of the units, for a given one of the time steps, takes as input a graph adjacency matrix, a node feature matrix, and a parameter matrix for a current layer, and outputs a new node feature matrix for a next highest layer. The mechanism takes as input a parameter matrix for a prior time step updates the input parameter matrix, and outputs the parameter matrix for the given time step. The output layer obtains, as input, output of each of the units for a final time step, and based on the output of each of the units for the final time step, outputs a graph solution.
    Type: Grant
    Filed: February 13, 2020
    Date of Patent: December 27, 2022
    Assignees: International Business Machines Corporation, Massachusetts Institute of Technology
    Inventors: Jie Chen, Aldo Pareja, Giacomo Domeniconi, Tengfei Ma, Toyotaro Suzumura, Timothy Kaler, Tao B. Schardl, Charles E. Leiserson
  • Publication number: 20220374891
    Abstract: A dynamic graph embedding method for transaction data analysis includes obtaining transaction data associated with an account during a plurality of time windows, extracting spatial-temporal information of the transaction data by using a graph convolutional network and a transformer framework, and generating a feature representation for the account based on the spatial-temporal information.
    Type: Application
    Filed: May 17, 2021
    Publication date: November 24, 2022
    Inventors: Shi Lei Zhang, Li Zhang, Toyotaro Suzumura, Ryo Kawahara
  • Patent number: 11372919
    Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.
    Type: Grant
    Filed: May 24, 2019
    Date of Patent: June 28, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Chun-Fu Chen, Jason L. Crawford, Ching-Yung Lin, Jie Lu, Mark R. Nutter, Toyotaro Suzumura, Ilie G. Tanase, Danny L. Yeh
  • Publication number: 20220188813
    Abstract: A suspicious pattern can be detected within a transaction network of nodes. Nodes of the network are walked by determining if any adjacent node to a current node is within the suspicious pattern. If an adjacent node is within the suspicious pattern, that node is walked to. Based on the walk, a node sequence can be generated.
    Type: Application
    Filed: December 12, 2020
    Publication date: June 16, 2022
    Inventors: Li Zhang, Shi Lei Zhang, Toyotaro Suzumura, Keith Coleman Houck, Ryo Kawahara
  • Patent number: 11321393
    Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.
    Type: Grant
    Filed: June 10, 2019
    Date of Patent: May 3, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Chun-Fu Chen, Jason L. Crawford, Ching-Yung Lin, Jie Lu, Mark R. Nutter, Toyotaro Suzumura, Ilie G. Tanase, Danny L. Yeh
  • Patent number: 11314775
    Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.
    Type: Grant
    Filed: August 27, 2019
    Date of Patent: April 26, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Chun-Fu Chen, Jason L. Crawford, Ching-Yung Lin, Jie Lu, Mark R. Nutter, Toyotaro Suzumura, Ilie G. Tanase, Danny L. Yeh
  • Patent number: 11281647
    Abstract: A fine-grained scalable time-versioning support for large-scale property graph databases includes receiving a request, wherein the request includes an entity identifier (ID) and reference time information, and searching entries of a first table using the entity ID as a first key. Matching an entry is performed corresponding to the first key in the first table, determining the entry is valid based at least in part on comparing the reference time information of the request with stored time information for the entry, and responsive to the determination, creating a second key, wherein the second key concatenates an ID associated with the entity ID with the reference time information of the request. Searching a second table is performed having entries based at least in part on the second key, and responsive to searching the second table, retrieving data associated with the second key.
    Type: Grant
    Filed: December 6, 2017
    Date of Patent: March 22, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Jinho Lee, Toyotaro Suzumura, Ilie Gabriel Tanase, Warut Vijitbenjaronk
  • Publication number: 20220058032
    Abstract: A generation apparatus that generates a mapping between individual properties included in an object in a program and individual elements of a structured document. The generation apparatus includes: an object tree generation unit that generates a tree structure representing hierarchical structure of the object by assigning the individual properties included in the object to nodes of the tree structure; and a selection unit that selects a mapping minimizing conversion cost of converting the tree structure of the object to a tree structure that includes the individual elements of the structured document as its nodes. The selection is from mappings that associate the individual properties included in the object with the individual elements of the structured document.
    Type: Application
    Filed: November 8, 2021
    Publication date: February 24, 2022
    Inventors: Toyotaro Suzumura, Michiaki Tatsubori, Akihiko Tozawa
  • Patent number: 11194595
    Abstract: A generation apparatus that generates a mapping between individual properties included in an object in a program and individual elements of a structured document. The generation apparatus includes: an object tree generation unit that generates a tree structure representing hierarchical structure of the object by assigning the individual properties included in the object to nodes of the tree structure; and a selection unit that selects a mapping minimizing conversion cost of converting the tree structure of the object to a tree structure that includes the individual elements of the structured document as its nodes. The selection is from mappings that associate the individual properties included in the object with the individual elements of the structured document.
    Type: Grant
    Filed: February 2, 2017
    Date of Patent: December 7, 2021
    Assignee: International Business Machines Corporation
    Inventors: Toyotaro Suzumura, Michiaki Tatsubori, Akihiko Tozawa
  • Publication number: 20210326332
    Abstract: A method for improving computing efficiency of a computing device for temporal directed cycle detection in a transaction graph includes preparing the transaction graph based on a plurality of transactions, the transaction graph including nodes indicating transaction origination points and transaction destination points, and edges indicating interactions between the nodes. Irrelevant nodes in the transaction graph are identified and pruned to provide a pruned, preprocessed transaction graph which can be partitioning into sections, where each section includes selected nodes that are linked to other linked nodes therein. Each of the sections having non-cyclic nodes can be trimmed prior to performing cycle detection on the resulting pruned transaction graph. Postprocessing pruning can be performed to further reduce the number of detected cycles that may be of interest to a particular application, such as in anti-money laundering.
    Type: Application
    Filed: April 17, 2020
    Publication date: October 21, 2021
    Inventors: Guangnan Ye, Toyotaro Suzumura, Keith Coleman Houck, Kumar Bhaskaran
  • Publication number: 20210256355
    Abstract: A system includes a plurality of graph convolutional networks corresponding to a plurality of time steps, each network modelling a graph including nodes and edges, and in turn including a plurality of graph convolution units; an evolving mechanism; and an output layer. Each of the units, for a given one of the time steps, takes as input a graph adjacency matrix, a node feature matrix, and a parameter matrix for a current layer, and outputs a new node feature matrix for a next highest layer. The mechanism takes as input a parameter matrix for a prior time step updates the input parameter matrix, and outputs the parameter matrix for the given time step. The output layer obtains, as input, output of each of the units for a final time step, and based on the output of each of the units for the final time step, outputs a graph solution.
    Type: Application
    Filed: February 13, 2020
    Publication date: August 19, 2021
    Inventors: Jie Chen, Aldo Pareja, Giacomo Domeniconi, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Timothy Kaler, Tao B. Schardl, Charles E. Leiserson
  • Publication number: 20210157832
    Abstract: A Resilient Distributed Dataset (RDD) processing method, system, and computer program product include sending a differential portion of a message from a receiver to a sender along with information of a global identifier of an RDD and differential values after matching incoming message.
    Type: Application
    Filed: December 23, 2020
    Publication date: May 27, 2021
    Inventors: Jui-Hsin Lai, Lifeng Nail, Toyotaro Suzumura, Yinglong Xia
  • Patent number: 10936644
    Abstract: A Resilient Distributed Dataset (RDD) processing method, system, and computer program product include sending a different portion including a global identifier and different values of a message from a receiver to a sender and at a receiver side, an already-processed message is extracted from an RDD object repository corresponding to the global identifier of the different portion and the incoming differential portion is applied to the already-processed message.
    Type: Grant
    Filed: October 2, 2017
    Date of Patent: March 2, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Jui-Hsin Lai, Lifeng Nail, Toyotaro Suzumura, Yinglong Xia
  • Patent number: 10785052
    Abstract: A remote control system detects a directional signal at an alerting sensor package; activates an appliance to accept a control signal in response to the directional signal; accepts the control signal at the appliance from a muscle sensor package; and adjusts operation of the appliance in response to the control signal.
    Type: Grant
    Filed: September 21, 2018
    Date of Patent: September 22, 2020
    Assignee: International Business Machines Corporation
    Inventors: Jui-Hsin Lai, Lifeng Nai, Toyotaro Suzumura, Yinglong Xia
  • Patent number: 10740659
    Abstract: Techniques facilitating generation of a fused kernel that can approximate a full kernel of a convolutional neural network are provided. In one example, a computer-implemented method comprises determining a first pattern of samples of a first sample matrix and a second pattern of samples of a second sample matrix. The first sample matrix can be representative of a sparse kernel, and the second sample matrix can be representative of a complementary kernel. The first pattern and second pattern can be complementary to one another. The computer-implemented method also comprises generating a fused kernel based on a combination of features of the sparse kernel and features of the complementary kernel that are combined according to a fusing approach and training the fused kernel.
    Type: Grant
    Filed: December 14, 2017
    Date of Patent: August 11, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Richard Chen, Quanfu Fan, Marco Pistoia, Toyotaro Suzumura
  • Patent number: 10671654
    Abstract: Methods and systems for estimating a probability of re-sharing information include extracting keywords from a set of documents addressed to a user. The keywords from the set of documents are weighted according a metric for the user's interest in the keywords' respective source documents to create an interest model. A new document having one or more keywords is received. A likelihood that the user will re-share the new document is determined. The likelihood is based on the interest model and the one or more keywords present in the new document. The new document is automatically responded to based on the determined likelihood.
    Type: Grant
    Filed: July 6, 2016
    Date of Patent: June 2, 2020
    Assignee: International Business Machines Corporation
    Inventors: Miki M. Enoki, Akiko Suzuki, Toyotaro Suzumura, Michiaki Tatsubori
  • Patent number: 10552450
    Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.
    Type: Grant
    Filed: August 5, 2016
    Date of Patent: February 4, 2020
    Assignee: International Business Machines Corporation
    Inventors: Chun-Fu Chen, Jason L. Crawford, Ching-Yung Lin, Jie Lu, Mark R. Nutter, Toyotaro Suzumura, Ilie G. Tanase, Danny L. Yeh
  • Publication number: 20190384774
    Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.
    Type: Application
    Filed: August 27, 2019
    Publication date: December 19, 2019
    Inventors: Chun-Fu Chen, Jason L. Crawford, Ching-Yung Lin, Jie Lu, Mark R. Nutter, Toyotaro Suzumura, Ilie G. Tanase, Danny L. Yeh
  • Publication number: 20190294634
    Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.
    Type: Application
    Filed: June 10, 2019
    Publication date: September 26, 2019
    Inventors: Chun-Fu Chen, Jason L. Crawford, Ching-Yung Lin, Jie Lu, Mark R. Nutter, Toyotaro Suzumura, Ilie G. Tanase, Danny L. Yeh
  • Publication number: 20190278807
    Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.
    Type: Application
    Filed: May 24, 2019
    Publication date: September 12, 2019
    Inventors: Chun-Fu Chen, Jason L. Crawford, Ching-Yung Lin, Jie Lu, Mark R. Nutter, Toyotaro Suzumura, Ilie G. Tanase, Danny L. Yeh