Learning dynamic multimodal network slot concepts from the web for forecasting Environmental, Social and Governance Ratings

• Main Authors: ANG, Gary, LIM, Ee-peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: attention mechanisms; embeddings; forecasting; Graph neural networks; multimodality; networks; sustainability; transformers; Databases and Information Systems; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/9272; https://ink.library.smu.edu.sg/context/sis_research/article/10272/viewcontent/3663674_pvoa_cc_by.pdf
• Institution: Singapore Management University

Dynamic multimodal networks are networks with node attributes from different modalities where the at- tributes and network relationships evolve across time, i.e., both networks and multimodal attributes are dynamic; for example, dynamic relationship networks between companies that evolve across time...