HGAMN: Heterogeneous Graph Attention Matching Network for Multilingual POI Retrieval at Baidu Maps.
Jizhou HuangHaifeng WangYibo SunMiao FanZhengjie HuangChunyuan YuanYawen LiPublished in: KDD (2021)
Keyphrases
- graph matching
- heterogeneous collections
- fully connected
- similarity matching
- graphical representation
- spanning tree
- peer to peer
- network structure
- heterogeneous networks
- information retrieval
- random graphs
- pattern matching
- partial matching
- document retrieval
- matching algorithm
- efficient indexing
- structured data
- image database
- graph theory
- graph structure
- wireless sensor networks
- edge weights
- association graph
- bipartite graph
- maximum matching
- multilingual information retrieval
- maximum cardinality
- text retrieval
- visual attention
- complex networks
- image matching
- question answering
- digital libraries