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Higher-order multimodal Interaction: Presenting novel structure in Real-world NETworked problems

Objective

Graphs represent a mathematical concept used to study interconnected subsystems, by formulating mutual relationships as connected node-pairs. However, traditional graphs are inadequate to capture interactions in many real-world problems (e.g. brain networks, gene expression or financial networks, to name a few), due to limited scope of expression. Recent research draws attention to higher-order complex structures (e.g. hypergraphs, allowing multi-body connection; multilayer networks, encoding multimodal connections; and temporal networks, whose connections change over time). Interaction is also often described as form of network flow (message passing) with respect to graph-like objects. This mechanism is commonly utilised in machine learning, a concept performing a type of relationship inference from large amounts of data to describe the underlying problems. Our recent work provides an extension of network flow to higher-order complex objects, in form of multimodal heterogeneous network flow. This is important as recent research has demonstrated that most real-world systems exhibit higher-order complex network features, which may benefit from learning-based relationship inference over higher-order complex structures. We demonstrate existence of the proposed higher-order multimodal node relationship in physical systems, financial networks, and biological structures, among others. Given limited scope of expression in existing frameworks, our proposed framework offers new, previously unexplored insight potential, transcending graph transformers. To that end, following open challenges will be addressed: triadic interaction and generative learning (expanding scope of expression in generative adversarial models); single-cell data analysis (assessing gene expression programmes for cancer therapy, in line with its expressed need for the new paradigm); and multimodal perception (offering new insights to the neuroscientific basis for haptic-enhanced multimodal interaction).

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Keywords

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Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

TECHNISCHE UNIVERSITAET MUENCHEN
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 217 965,12
Address
Arcisstrasse 21
80333 Muenchen
Germany

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Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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