发明名称 |
NEURAL NETWORK FOR PROCESSING GRAPH DATA |
摘要 |
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for receiving graph data representing an input graph comprising a plurality of vertices connected by edges; generating, from the graph data, vertex input data representing characteristics of each vertex in the input graph and pair input data representing characteristics of pairs of vertices in the input graph; and generating order-invariant features of the input graph using a neural network, wherein the neural network comprises: a first subnetwork configured to generate a first alternative representation of the vertex input data and a first alternative representation of the pair input data from the vertex input data and the pair input data; and a combining layer configured to receive an input alternative representation and to process the input alternative representation to generate the order-invariant features. |
申请公布号 |
US2017061276(A1) |
申请公布日期 |
2017.03.02 |
申请号 |
US201514842774 |
申请日期 |
2015.09.01 |
申请人 |
Google Inc. |
发明人 |
Riley Patrick F.;Berndl Marc |
分类号 |
G06N3/04 |
主分类号 |
G06N3/04 |
代理机构 |
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代理人 |
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主权项 |
1. A method comprising:
receiving graph data representing an input graph comprising a plurality of vertices connected by edges; generating, from the graph data, vertex input data representing characteristics of each vertex in the input graph and pair input data representing characteristics of pairs of vertices in the input graph; and generating order-invariant features of the input graph using a neural network, wherein the neural network comprises: a first subnetwork configured to generate a first alternative representation of the vertex input data and a first alternative representation of the pair input data from the vertex input data and the pair input data; and a combining layer configured to receive an input alternative representation and to process the input alternative representation to generate the order-invariant features. |
地址 |
Mountain View CA US |