MyGO: Discrete Modality Information as Fine-Grained Tokens for Multi-modal Knowledge Graph Completion
(2404.09468)Abstract
Multi-modal knowledge graphs (MMKG) store structured world knowledge containing rich multi-modal descriptive information. To overcome their inherent incompleteness, multi-modal knowledge graph completion (MMKGC) aims to discover unobserved knowledge from given MMKGs, leveraging both structural information from the triples and multi-modal information of the entities. Existing MMKGC methods usually extract multi-modal features with pre-trained models and employ a fusion module to integrate multi-modal features with triple prediction. However, this often results in a coarse handling of multi-modal data, overlooking the nuanced, fine-grained semantic details and their interactions. To tackle this shortfall, we introduce a novel framework MyGO to process, fuse, and augment the fine-grained modality information from MMKGs. MyGO tokenizes multi-modal raw data as fine-grained discrete tokens and learns entity representations with a cross-modal entity encoder. To further augment the multi-modal representations, MyGO incorporates fine-grained contrastive learning to highlight the specificity of the entity representations. Experiments on standard MMKGC benchmarks reveal that our method surpasses 20 of the latest models, underlining its superior performance. Code and data are available at https://github.com/zjukg/MyGO
Overview
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The
acmartdocument class provides a unified LaTeX template for various ACM publications, enhancing accessibility and metadata-extraction for use in the ACM Digital Library. -
It supports a wide array of documentation types and styles, facilitating consistency across different publication stages from initial drafts to camera-ready submissions.
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Key features include strict formatting adherence, typeface requirements, comprehensive author metadata documentation, and use of taxonomic tools to improve the paper's indexing and discoverability.
Comprehensive Overview of ACM's acmart LaTeX Document Class and Its Features
Introduction and Purpose of ACM's Template
The ACM consolidated article template, utilizing the acmart document class, serves as a unified LaTeX style for various ACM publications. It integrates essential features such as accessibility and metadata-extraction functions, crucial for future expansions of the ACM Digital Library. This document class supports different stages of publication across numerous ACM platforms, simplifying the publication process for both new and seasoned authors within the ACM community.
Utilization across Publications
The acmart document class is adaptable for an array of documentation types, from dual-anonymous initial submissions to camera-ready journal articles. This versatility is achieved through specific template styles and parameters:
- Journal Styles: Different ACM journals utilize various styles such as
acmsmall,acmlarge, andacmtog, each catering to the particular needs of the journal's focus and format. - Conference Proceedings: The majority utilize the
acmconfstyle, with specific adaptations available for SIG-specific conferences likesigchifor SIGCHI articles, orsigplanfor SIGPLAN conferences.
The choice of template style dictates the formatting nuances of the publication, ensuring consistency and adherence to ACM's publication standards.
Key Features and Parameters
The template supports numerous parameters that further refine the publication output to meet specific requirements, such as anonymous and review for double-blind review processes, or screen for color hyperlinks. Detailed guidance on these parameters enables authors to enhance the accessibility and functionality of their documents effectively.
Adhering to Formatting Standards
The introduction of the acmart class necessitates strict adherence to formatting standards. Modifications to template elements like margins, typefaces, or line spacing are generally prohibited to maintain a uniform appearance across publications. Violations of these standards require document revision, emphasizing the importance of following the preset guidelines closely.
Typeface and Presentation Requirements
Use of the “Libertine” typeface family is mandated, providing a standardized visual aesthetic for ACM publications. Also, attention to the proper capitalization and presentation of titles and subtitles is critical, ensuring clarity and professionalism in the document's appearance.
Author and Affiliation Documentation
Accurate metadata identification is imperative, necessitating detailed documentation of each author and their affiliations. This structured approach aids in the proper indexing and accessibility of the paper within the ACM ecosystem.
Rights and Licensing
Authors must manage rights information meticulously, including integrating specific LaTeX commands provided by ACM post-rights form completion. This ensures legal compliance and proper attribution of the published work.
Taxonomic Tools and Classification
Authors are encouraged to use the ACM Computing Classification System for better taxonomy and indexing of their work. Additionally, user-defined keywords offer a flexible tool for describing the research in more accessible terms to enhance discoverability and relevance in digital searches.
Conclusion: Implications and Future Adaptations
The acmart LaTeX document class standardizes ACM's publication process, ensuring a consistent and professional presentation of scholarly work. It accommodates the evolving needs of digital publishing with an emphasis on accessibility and metadata completeness. Future enhancements may likely focus on expanding this framework to include advanced digital publishing tools and greater customization options, potentially increasing the engagement and reach of ACM publications.
The meticulous structuring and detailed parameterization offered by acmart stand as testaments to ACM's commitment to high standards in the dissemination of scientific knowledge, ensuring that the system meets the dynamic needs of its diverse academic audience.
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