Essential Guidelines for Conference Paper Preparation
Key points for writing and submitting conference papers effectively.
― 4 min read
Guidelines for Preparing Conference Papers
When writing a paper for a conference, it’s important to follow specific guidelines to ensure that your submission is accepted and reviewed properly. Here is a comprehensive overview of the main points to consider.
Paper Length
Submissions should have a maximum length of nine pages. This includes the main text, figures, and other content. However, you can add additional pages for acknowledgments and references, which do not count towards the page limit. Papers that go beyond this limit will not be accepted for review.
Formatting
Your paper should fit within a specific size. The text area should be 5.5 inches wide and 9 inches long. Make sure to leave a 1.5-inch margin on the left side. Use a standard font size of 10 points with a spacing of 11 points. Times New Roman is the recommended font for the entire document.
Title and Abstract
The title of your paper must be bold and centered. It should be set in a larger font size, specifically 17 points. The title should be positioned between two lines, with the top line being thicker than the bottom. Leave enough space above and below the title for visual clarity.
The abstract should be a single paragraph, limited to a specific length. Format the abstract by indenting it on both sides. The word "Abstract" must be bold and centered in a size of 12 points, with two blank lines above the paragraph.
Author Information
Include the names and addresses of the authors. The lead author’s name should appear first, followed by any co-authors. Be sure to format their names in bold and centered above their addresses. If there is only one co-author, list their name beside the lead author.
Citations And References
When citing sources in your paper, ensure you are consistent in your approach. You can choose between author/year or numeric citation styles. All references must be formatted consistently and should appear at the end of the paper. The reference section is not counted within the page limit.
Citations to your previous work should be written in the third person to maintain anonymity during the review process. If you reference papers that are under review or not widely accessible, use placeholder names to ensure anonymity.
Figures and Tables
Figures and tables must be neat and clearly labeled. Each figure should be numbered and should include a caption that follows specific formatting rules. Place the caption below the figure with a space before and after it.
For tables, include the title above the table. Ensure that all tables are also neat and labeled properly. Avoid using vertical lines in tables and consider using high-quality formatting packages for a professional touch.
Footnotes
Footnotes should be used sparingly and must be indicated within the text. Place footnotes at the bottom of the page where they appear, preceded by a horizontal line for clarity. Ensure that footnotes are formatted correctly and appear after punctuation.
Submission Process
When submitting your paper, do not modify the provided style files, as this could lead to formatting issues. Use the current style files available on the conference website. In your submission, be sure to omit any options that might compromise anonymity, such as final or preprint indicators.
Preparing the PDF
Ensure that your final submission is in PDF format, created using a specific type of software that guarantees font compatibility. The PDF should only include Type 1 or Embedded TrueType fonts to avoid issues during review. Remember to check which fonts are being used in your PDF to ensure they meet the submission requirements.
Ethics and Disclosure
It is crucial to address any ethical considerations related to your work. If your research involves human subjects, ensure you have obtained the necessary approvals. Discuss any potential risks to participants and disclose how participant consent was obtained.
Furthermore, include a section at the end of your paper to acknowledge funding sources and any competing interests related to your work. This section should appear just before the references and should not be included in the initial submission.
Checklist for Submission
Before submitting your paper, review the following checklist to confirm you have met all requirements:
- Does the abstract accurately reflect the paper's contributions?
- Have you described any limitations of your work?
- Have you discussed any potential negative societal impacts?
- Are you in compliance with the ethics review guidelines?
- If you conducted experiments, have you included all necessary details and data?
- Have you adhered to the correct format for citations and references?
By carefully following these guidelines, you enhance the chances of your paper being accepted and reviewed thoroughly. Make sure to maintain a clear and organized approach throughout your writing process to convey your research effectively to the audience.
Title: How Curvature Enhance the Adaptation Power of Framelet GCNs
Abstract: Graph neural network (GNN) has been demonstrated powerful in modeling graph-structured data. However, despite many successful cases of applying GNNs to various graph classification and prediction tasks, whether the graph geometrical information has been fully exploited to enhance the learning performance of GNNs is not yet well understood. This paper introduces a new approach to enhance GNN by discrete graph Ricci curvature. Specifically, the graph Ricci curvature defined on the edges of a graph measures how difficult the information transits on one edge from one node to another based on their neighborhoods. Motivated by the geometric analogy of Ricci curvature in the graph setting, we prove that by inserting the curvature information with different carefully designed transformation function $\zeta$, several known computational issues in GNN such as over-smoothing can be alleviated in our proposed model. Furthermore, we verified that edges with very positive Ricci curvature (i.e., $\kappa_{i,j} \approx 1$) are preferred to be dropped to enhance model's adaption to heterophily graph and one curvature based graph edge drop algorithm is proposed. Comprehensive experiments show that our curvature-based GNN model outperforms the state-of-the-art baselines in both homophily and heterophily graph datasets, indicating the effectiveness of involving graph geometric information in GNNs.
Authors: Dai Shi, Yi Guo, Zhiqi Shao, Junbin Gao
Last Update: 2023-07-19 00:00:00
Language: English
Source URL: https://arxiv.org/abs/2307.09768
Source PDF: https://arxiv.org/pdf/2307.09768
Licence: https://creativecommons.org/licenses/by/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
Thank you to arxiv for use of its open access interoperability.
Reference Links
- https://github.com/dshi3553usyd/curvature_enhanced_graph_convolution
- https://openreview.net/pdf?id=2Cf5AnxMKba
- https://www.neurips.cc/
- https://mirrors.ctan.org/macros/latex/contrib/natbib/natnotes.pdf
- https://www.ctan.org/pkg/booktabs
- https://www.emfield.org/icuwb2010/downloads/IEEE-PDF-SpecV32.pdf
- https://mirrors.ctan.org/macros/latex/required/graphics/grfguide.pdf
- https://neurips.cc/Conferences/2022/PaperInformation/FundingDisclosure