基本信息:
- 专利标题： TRANSACTION COMPOSITION GRAPH NODE EMBEDDING
- 申请号：US17110373 申请日：2020-12-03
- 公开(公告)号：US20220180240A1 公开(公告)日：2022-06-09
- 发明人： Yan Luo , Liujia Shao , Yan Xu
- 申请人： International Business Machines Corporation
- 申请人地址： US NY Armonk
- 专利权人： International Business Machines Corporation
- 当前专利权人： International Business Machines Corporation
- 当前专利权人地址： US NY Armonk
- 主分类号： G06N20/00
- IPC分类号： G06N20/00 ; G06F16/901 ; G06N3/04
摘要：
A computer-implemented process for transaction composition graph node embedding comprising traversing a data flow of transactions to convert a full graph to multiple directed acyclic subgraphs/paths in spanning trees, taking one-by-one nodes as input to a predetermined neural network, generating a set of one-hot vectors for all nodes, computing an embedding vector from a corresponding one-hot vector, computing a probability that an output node is nearby, and embedding the node to a latent feature vector.
公开/授权文献:
- US12050971B2 Transaction composition graph node embedding 公开/授权日：2024-07-30