{
  "id": 496427,
  "title": "Reading List [Mentioned in the description - Overview Page]",
  "url": "/competitions/leash-BELKA/discussion/496427",
  "author_name": "AC",
  "post_date": "2024-04-21T05:11:31.725000",
  "votes": 9,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Attaching the link of articles mentioned on the Description page. We might overlook them but they are really good papers for a better understanding of the competition. </p>\n<ol>\n<li><a href=\"https://arxiv.org/pdf/2107.12375.pdf\" target=\"_blank\">Geometric Deep Learning for molecular representations. </a></li>\n<li><a href=\"https://arxiv.org/pdf/1801.10130.pdf\" target=\"_blank\">Spherical CNNS.</a></li>\n<li><a href=\"https://www.nature.com/articles/432823a\" target=\"_blank\">Chemical Space. </a></li>\n</ol>\n<p>** A paper on different molecular representations. <br>\n<a href=\"https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00460-5\" target=\"_blank\">Review &amp; Practical Guide: Molecular Representations.</a></p>",
  "messages": [
    {
      "id": 2765303,
      "postDate": "2024-04-21T05:11:31.727Z",
      "content": "<p>Attaching the link of articles mentioned on the Description page. We might overlook them but they are really good papers for a better understanding of the competition. </p>\n<ol>\n<li><a href=\"https://arxiv.org/pdf/2107.12375.pdf\" target=\"_blank\">Geometric Deep Learning for molecular representations. </a></li>\n<li><a href=\"https://arxiv.org/pdf/1801.10130.pdf\" target=\"_blank\">Spherical CNNS.</a></li>\n<li><a href=\"https://www.nature.com/articles/432823a\" target=\"_blank\">Chemical Space. </a></li>\n</ol>\n<p>** A paper on different molecular representations. <br>\n<a href=\"https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00460-5\" target=\"_blank\">Review &amp; Practical Guide: Molecular Representations.</a></p>",
      "rawMarkdown": "Attaching the link of articles mentioned on the Description page. We might overlook them but they are really good papers for a better understanding of the competition. \n\n1. [Geometric Deep Learning for molecular representations. ](https://arxiv.org/pdf/2107.12375.pdf)\n2. [Spherical CNNS.](https://arxiv.org/pdf/1801.10130.pdf)\n3. [Chemical Space. ](https://www.nature.com/articles/432823a)\n\n** A paper on different molecular representations. \n[Review & Practical Guide: Molecular Representations.](https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00460-5)",
      "votes": 8
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2765303": "Attaching the link of articles mentioned on the Description page. We might overlook them but they are really good papers for a better understanding of the competition. \n\n1. [Geometric Deep Learning for molecular representations. ](https://arxiv.org/pdf/2107.12375.pdf)\n2. [Spherical CNNS.](https://arxiv.org/pdf/1801.10130.pdf)\n3. [Chemical Space. ](https://www.nature.com/articles/432823a)\n\n** A paper on different molecular representations. \n[Review & Practical Guide: Molecular Representations.](https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00460-5)"
  }
}