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MultiSage : Empowering GCN with Contextualized Multi-Emb..:

, In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,

Yang, Carl ; Pal, Aditya ; Zhai, Andrew... - p. 2434-2443 , 2020

Link: https://dl.acm.org/doi/10.1145/3394486.3403293

RT 
T1 <cTitle>Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>MultiSage				: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3403293&Exemplar=1&LAN=DE
				
A1 Yang, Carl
A1 Pal, Aditya
A1 Zhai, Andrew
A1 Pancha, Nikil
A1 Han, Jiawei
A1 Rosenberg, Charles
A1 Leskovec, Jure
PB ACM
YR 2020
K1 contextualized multi-embedding
K1 graph neural network
K1 search and recommendation
K1 web-scale training and inference
K1 Information systems
K1 Data management systems
K1 Database design and models
K1 Graph-based database models
K1 Network data models
K1 Hierarchical data models
K1 Data structures
K1 Data access methods
K1 Proximity search
K1 Database management system engines
K1 Parallel and distributed DBMSs
K1 MapReduce-based systems
K1 Entity relationship models
K1 Information systems applications
K1 Data mining
K1 Collaborative filtering
K1 World Wide Web
K1 Web searching and information discovery
K1 Social recommendation
K1 Web applications
K1 Electronic commerce
K1 E-commerce infrastructure
K1 Information retrieval
K1 Retrieval models and ranking
K1 Novelty in information retrieval
K1 Specialized information retrieval
K1 Environment-specific retrieval
K1 Web and social media search
K1 Collaborative and social computing systems and tools
K1 Social networking sites
SP 2434
OP 2443
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3394486.3403293
DO https://dl.acm.org/doi/10.1145/3394486.3403293
SF ELIB - SuUB Bremen

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