| AmpliGraph: a library for representation learning on knowledge graphs L Costabello, S Pai, C Le Van, R McGrath, N McCarthy, P Tabacof Retrieved Oct 10, 2019, 2019 | 73* | 2019 |
| Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes S Pai, L Costabello 30th International Joint Conference on Artificial Intelligence (IJCAI-21), 2021 | 17 | 2021 |
| Knowledge graph embeddings tutorial: From theory to practice L Costabello, S Pai, N McCarthy, A Janik 24th European Conference on Artificial Intelligence - Tutorials (ECAI-20), 2020 | 8* | 2020 |
| Systems and methods driven by link-specific numeric information for predicting associations based on predicate types S Pai, L Costabello US Patent 11,593,665, 2023 | 5 | 2023 |
| MatKG: The Largest Knowledge Graph in Materials Science--Entities, Relations, and Link Prediction through Graph Representation Learning V Venugopal, S Pai, E Olivetti arXiv preprint arXiv:2210.17340, 2022 | 5 | 2022 |
| Utilizing machine learning models for data-driven customer segmentation L Costabello, S Pai, F Brennan, A Janik US Patent App. 17/449,506, 2022 | 4 | 2022 |
| Systems And Methods For Prioritizing The Selection Of Targeted Genes Associated With Diseases For Drug Discovery Based On Human Data UL Qurrat, M Zayats, P Moreau, F Brennan, S Pai, L Costabello, ... US Patent App. 16/818,412, 2021 | 2 | 2021 |
| Multi-modal visual question answering system L Costabello, N McCarthy, R McGrath, S Pai US Patent 10,949,718, 2021 | 2 | 2021 |
| Background Knowledge Injection for Interpretable Sequence Classification S Gsponer, L Costabello, C Le Van, S Pai, C Gueret, G Ifrim, F Lecue Insight 16, 19, 2019 | 2 | 2019 |
| Exploration of Open Large Language Models for eDiscovery S Pai, S Lahiri, U Kumar, K Baksi, E Soba, M Suesserman, N Pudota, ... Proceedings of the Natural Legal Language Processing Workshop, EMNLP 2023 …, 2023 | 1 | 2023 |
| Generating hypothesis candidates associated with an incomplete knowledge graph S Pai, L Costabello US Patent App. 16/952,941, 2022 | 1 | 2022 |
| Unsupervised Customer Segmentation with Knowledge Graph Embeddings S Pai, F Brennan, A Janik, T Correia, L Costabello Companion Track of the 31st International World Wide Web Conference (WWW'22), 2022 | 1 | 2022 |
| Incrementally training a knowledge graph embedding model from biomedical knowledge graphs S Pai, L Costabello US Patent App. 18/047,446, 2024 | | 2024 |
| Intelligent Collaborative Decision Generation System with Iterative Prediction of Link Set in Knowledge Graph C Gueret, S Pai, L Costabello, R McGrath US Patent App. 18/333,093, 2023 | | 2023 |
| Intelligent Collaborative Decision Generation System with Link Prediction Assisted by User Feedback C Gueret, S Pai, L Costabello, R McGrath US Patent App. 18/333,200, 2023 | | 2023 |
| Methods and Systems for Approximating Embeddings of Out-Of-Knowledge-Graph Entities for Link Prediction in Knowledge Graph A Janik, S Pai, L Costabello US Patent App. 17/514,512, 2023 | | 2023 |
| System for multi-task distribution learning with numeric-aware knowledge graphs N McCarthy, S Pai, L Costabello US Patent 11,593,666, 2023 | | 2023 |
| Methods and Systems for Generating Example-Based Explanations of Link Prediction Models in Knowledge Graphs A Janik, L Costabello, S Pai US Patent App. 17/329,627, 2022 | | 2022 |
| The Largest Knowledge Graph in Materials Science-Entities, Relations, and Link Prediction through Graph Representation Learning V Venugopal, S Pai, E Olivetti AI for Accelerated Materials Design NeurIPS 2022 Workshop, 2022 | | 2022 |
Luca CostabelloAccenture LabsVerified email at accenture.com
