As an arising innovation in the area of expert system (AI), chart semantic networks (GNNs) are deep understanding designs created to refine graph-structured information. Presently, GNNs work at recording connections in between nodes and sides in information, however frequently neglect higher-order, complicated links. To resolve this obstacle, a study group at The Hong Kong Polytechnic College (PolyU) has actually created a brand-new heterogeneous chart focus network, reinventing the modeling of complicated connections in graph-structured information. This advancement is positioned to appear AI application restrictions in areas such as neuroscience, logistics, computer system vision and biology.
发布者：Dr.Durant，转转请注明出处：https://robotalks.cn/new-graph-attention-network-models-higher-order-relationships-in-complex-graph-data/
