In this paper we study professional role inference on a unique new email dataset comprising billions of email exchanges across thousands of organizations.
We propose EMBER, a powerful and fast approach for embedding nodes, which correspond to employees in email networks, toward professional role infer- ence. EMBER ...
Jul 2, 2019 · Smart Roles: Inferring Professional Roles in Email Networks · Comments.
Smart Roles: Inferring Professional Roles in Email Networks. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019. Link ...
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They span neural networks for brain data to latent network summarization and representation learning for professional role inference from email networks.
Feb 28, 2024 · In this study, we investigate the use of representation learning techniques for solving complex problems represented as graphs.
Nov 1, 2021 · We designed a novel network embedding learning model for inferring users' social statuses and roles which takes users' local and global ...
Smart Roles: Inferring Professional Roles in Email Networks. Conference on Knowledge Discovery and Data Mining (KDD), 2019. [code]. Mark Heimann, Haoming ...
This article seeks to clarify the misconceptions and key differences between structural roles and communities, and formalize the general mechanisms.
Jan 12, 2022 · TorchServe provides a dynamic batching feature. It aggregates the received requests within a specified time frame, batches them together, and sends the batch ...