Članki z zahtevami za javni dostop - Paolo RossoVeč o tem
Ni na voljo nikjer: 1
Revisiting embedding based graph analyses: Hyperparameters matter!
D Yang, B Qu, R Hussein, P Rosso, P Cudré-Mauroux, J Liu
IEEE Transactions on Knowledge and Data Engineering 35 (11), 11830-11845, 2022
Zahteve: European Commission
Na voljo nekje: 9
Location prediction over sparse user mobility traces using rnns
D Yang, B Fankhauser, P Rosso, P Cudre-Mauroux
Proceedings of the twenty-ninth international joint conference on artificial …, 2020
Zahteve: European Commission
Beyond triplets: hyper-relational knowledge graph embedding for link prediction
P Rosso, D Yang, P Cudré-Mauroux
Proceedings of the web conference 2020, 1885-1896, 2020
Zahteve: Swiss National Science Foundation
Nodesketch: Highly-efficient graph embeddings via recursive sketching
D Yang, P Rosso, B Li, P Cudre-Mauroux
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
Zahteve: Swiss National Science Foundation, European Commission
Reta: A schema-aware, end-to-end solution for instance completion in knowledge graphs
P Rosso, D Yang, N Ostapuk, P Cudré-Mauroux
Proceedings of the Web Conference 2021, 845-856, 2021
Zahteve: European Commission
Annotating web tables through knowledge bases: A context-based approach
Y Eslahi, A Bhardwaj, P Rosso, K Stockinger, P Cudré-Mauroux
2020 7th swiss conference on data science (SDS), 29-34, 2020
Zahteve: Swiss National Science Foundation
Revisiting Text and Knowledge Graph Joint Embeddings: The Amount of Shared Information Matters!
P Rosso, D Yang, P Cudré-Mauroux
Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 2019
Zahteve: Swiss National Science Foundation
Knowledge graph embeddings
P Rosso, D Yang, P Cudré-Mauroux
Encyclopedia of Big Data Technologies, 1, 2018
Zahteve: Swiss National Science Foundation
Convtab: A context-preserving, convolutional model for ad-hoc table retrieval
V Agarwal, A Bhardwaj, P Rosso, P Cudré-Mauroux
2021 IEEE International conference on big data (Big Data), 5043-5052, 2021
Zahteve: US National Science Foundation, Swiss National Science Foundation
Fast and slow thinking: a two-step schema-aware approach for instance completion in knowledge graphs
D Yang, B Qu, P Rosso, P Cudre-Mauroux
IEEE Transactions on Knowledge and Data Engineering 36 (3), 1113-1129, 2023
Zahteve: European Commission
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