{
  "id": 106424,
  "title": "22nd place solution - Vanilla SchNet",
  "url": "/competitions/champs-scalar-coupling/writeups/vanilla-schnet-tony-y-22nd-place-solution-vanilla-",
  "author_name": "",
  "post_date": "2019-08-30T22:49:39.773Z",
  "votes": 33,
  "comment_count": 6,
  "views": 0,
  "content": "<p>I used SchNet models from SchNetPack. The notebook for 1JHN is available from <a href=\"https://www.kaggle.com/tonyyy/vanilla-schnet\">this link</a>.</p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2F53f40ec4718c0dab9c0eb747728925ae%2Fslide%201.png?generation=1567084000793466&amp;alt=media\" alt=\"Slide 1\"></p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2F819fdf2b2b7d03dbbc49d6502139e628%2Fslide%202.png?generation=1567084094339157&amp;alt=media\" alt=\"Slide 2\"></p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2F9f6e3dbdd63a073dd7e7fb4f4f7ba64b%2Fslide%203.png?generation=1567084180507117&amp;alt=media\" alt=\"Slide 3\"></p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2Ffc2292ec0d8065469d092414fce5c9ec%2Fslide%204.png?generation=1567084247618833&amp;alt=media\" alt=\"Slide 4\"></p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2F3708ad0cf1709d6c7abdcf863beb401c%2Fslide%205.png?generation=1567119800569793&amp;alt=media\" alt=\"Slide 5\"></p>\n\n<h2>Related Kernels</h2>\n\n<p><a href=\"https://www.kaggle.com/tonyyy/schnet-champs\">Potential Energy</a>\n<a href=\"https://www.kaggle.com/tonyyy/schnet-magnetic-shielding\">Chemical Shielding</a></p>",
  "messages": [
    {
      "id": "611846",
      "postDate": "08/29/2019 13:13:52",
      "content": "<p>I used SchNet models from SchNetPack. The notebook for 1JHN is available from <a href=\"https://www.kaggle.com/tonyyy/vanilla-schnet\">this link</a>.</p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2F53f40ec4718c0dab9c0eb747728925ae%2Fslide%201.png?generation=1567084000793466&amp;alt=media\" alt=\"Slide 1\"></p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2F819fdf2b2b7d03dbbc49d6502139e628%2Fslide%202.png?generation=1567084094339157&amp;alt=media\" alt=\"Slide 2\"></p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2F9f6e3dbdd63a073dd7e7fb4f4f7ba64b%2Fslide%203.png?generation=1567084180507117&amp;alt=media\" alt=\"Slide 3\"></p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2Ffc2292ec0d8065469d092414fce5c9ec%2Fslide%204.png?generation=1567084247618833&amp;alt=media\" alt=\"Slide 4\"></p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2F3708ad0cf1709d6c7abdcf863beb401c%2Fslide%205.png?generation=1567119800569793&amp;alt=media\" alt=\"Slide 5\"></p>\n\n<h2>Related Kernels</h2>\n\n<p><a href=\"https://www.kaggle.com/tonyyy/schnet-champs\">Potential Energy</a>\n<a href=\"https://www.kaggle.com/tonyyy/schnet-magnetic-shielding\">Chemical Shielding</a></p>",
      "rawMarkdown": "I used SchNet models from SchNetPack. The notebook for 1JHN is available from [this link](https://www.kaggle.com/tonyyy/vanilla-schnet).\n\n![Slide 1](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2F53f40ec4718c0dab9c0eb747728925ae%2Fslide%201.png?generation=1567084000793466&amp;alt=media)\n\n![Slide 2](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2F819fdf2b2b7d03dbbc49d6502139e628%2Fslide%202.png?generation=1567084094339157&amp;alt=media)\n\n ![Slide 3](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2F9f6e3dbdd63a073dd7e7fb4f4f7ba64b%2Fslide%203.png?generation=1567084180507117&amp;alt=media)\n\n![Slide 4](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2Ffc2292ec0d8065469d092414fce5c9ec%2Fslide%204.png?generation=1567084247618833&amp;alt=media)\n\n![Slide 5](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2F3708ad0cf1709d6c7abdcf863beb401c%2Fslide%205.png?generation=1567119800569793&amp;alt=media)\n\n## Related Kernels\n[Potential Energy](https://www.kaggle.com/tonyyy/schnet-champs)\n[Chemical Shielding](https://www.kaggle.com/tonyyy/schnet-magnetic-shielding)",
      "votes": null
    },
    {
      "id": "611913",
      "postDate": "08/29/2019 13:54:42",
      "content": "<p>We were so afraid of your next sub that never came.  Why didn't you pursue this further?</p>",
      "rawMarkdown": "We were so afraid of your next sub that never came.  Why didn't you pursue this further?",
      "votes": null
    },
    {
      "id": "611942",
      "postDate": "08/29/2019 14:10:51",
      "content": "<p>We looked at SchNet during the last week of the competition, but determined that it would take too long to build a decent model. However, it did seem to offer perhaps the best fit for the problem. Lgb could only take us so far ~ -2.1, so we evaluated other options, of which SchNet seemed the best. Wish we had started with it a month before.</p>",
      "rawMarkdown": "We looked at SchNet during the last week of the competition, but determined that it would take too long to build a decent model. However, it did seem to offer perhaps the best fit for the problem. Lgb could only take us so far ~ -2.1, so we evaluated other options, of which SchNet seemed the best. Wish we had started with it a month before.",
      "votes": null
    },
    {
      "id": "611955",
      "postDate": "08/29/2019 14:21:39",
      "content": "<p>Looking forward to read that notebook and have a great SchNet baseline :) </p>",
      "rawMarkdown": "Looking forward to read that notebook and have a great SchNet baseline :)",
      "votes": null
    },
    {
      "id": "612482",
      "postDate": "08/29/2019 20:13:58",
      "content": "<p>The notebook for 1JHN: <a href=\"https://www.kaggle.com/tonyyy/vanilla-schnet\">https://www.kaggle.com/tonyyy/vanilla-schnet</a></p>",
      "rawMarkdown": "The notebook for 1JHN: https://www.kaggle.com/tonyyy/vanilla-schnet",
      "votes": null
    },
    {
      "id": "612635",
      "postDate": "08/29/2019 23:05:46",
      "content": "<p>I have added my results.</p>",
      "rawMarkdown": "I have added my results.",
      "votes": null
    },
    {
      "id": "612689",
      "postDate": "08/30/2019 00:14:20",
      "content": "<p>Thanks for the share and notebook <a href=\"/tonyyy\">@tonyyy</a> , very insightful.</p>",
      "rawMarkdown": "Thanks for the share and notebook @tonyyy , very insightful.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 611913,
      "author_name": "cpmpml",
      "author_url": "",
      "post_date": "08/29/2019 13:54:42",
      "content": "<p>We were so afraid of your next sub that never came.  Why didn't you pursue this further?</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 611942,
      "author_name": "wjholst",
      "author_url": "",
      "post_date": "08/29/2019 14:10:51",
      "content": "<p>We looked at SchNet during the last week of the competition, but determined that it would take too long to build a decent model. However, it did seem to offer perhaps the best fit for the problem. Lgb could only take us so far ~ -2.1, so we evaluated other options, of which SchNet seemed the best. Wish we had started with it a month before.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 611955,
      "author_name": "jesucristo",
      "author_url": "",
      "post_date": "08/29/2019 14:21:39",
      "content": "<p>Looking forward to read that notebook and have a great SchNet baseline :) </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 612482,
      "author_name": "tonyyy",
      "author_url": "",
      "post_date": "08/29/2019 20:13:58",
      "content": "<p>The notebook for 1JHN: <a href=\"https://www.kaggle.com/tonyyy/vanilla-schnet\">https://www.kaggle.com/tonyyy/vanilla-schnet</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 612635,
      "author_name": "tonyyy",
      "author_url": "",
      "post_date": "08/29/2019 23:05:46",
      "content": "<p>I have added my results.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 612689,
      "author_name": "michelml",
      "author_url": "",
      "post_date": "08/30/2019 00:14:20",
      "content": "<p>Thanks for the share and notebook <a href=\"/tonyyy\">@tonyyy</a> , very insightful.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "611846": "I used SchNet models from SchNetPack. The notebook for 1JHN is available from [this link](https://www.kaggle.com/tonyyy/vanilla-schnet).\n\n![Slide 1](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2F53f40ec4718c0dab9c0eb747728925ae%2Fslide%201.png?generation=1567084000793466&amp;alt=media)\n\n![Slide 2](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2F819fdf2b2b7d03dbbc49d6502139e628%2Fslide%202.png?generation=1567084094339157&amp;alt=media)\n\n ![Slide 3](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2F9f6e3dbdd63a073dd7e7fb4f4f7ba64b%2Fslide%203.png?generation=1567084180507117&amp;alt=media)\n\n![Slide 4](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2Ffc2292ec0d8065469d092414fce5c9ec%2Fslide%204.png?generation=1567084247618833&amp;alt=media)\n\n![Slide 5](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F224674%2F3708ad0cf1709d6c7abdcf863beb401c%2Fslide%205.png?generation=1567119800569793&amp;alt=media)\n\n## Related Kernels\n[Potential Energy](https://www.kaggle.com/tonyyy/schnet-champs)\n[Chemical Shielding](https://www.kaggle.com/tonyyy/schnet-magnetic-shielding)",
    "611913": "We were so afraid of your next sub that never came.  Why didn't you pursue this further?",
    "611942": "We looked at SchNet during the last week of the competition, but determined that it would take too long to build a decent model. However, it did seem to offer perhaps the best fit for the problem. Lgb could only take us so far ~ -2.1, so we evaluated other options, of which SchNet seemed the best. Wish we had started with it a month before.",
    "611955": "Looking forward to read that notebook and have a great SchNet baseline :)",
    "612482": "The notebook for 1JHN: https://www.kaggle.com/tonyyy/vanilla-schnet",
    "612635": "I have added my results.",
    "612689": "Thanks for the share and notebook @tonyyy , very insightful."
  },
  "source": "existing_discussion",
  "complete": true,
  "competition_id": 14313,
  "competition_slug": "champs-scalar-coupling",
  "team_id": 3228704,
  "solution_url": "/competitions/champs-scalar-coupling/writeups/vanilla-schnet-tony-y-22nd-place-solution-vanilla-"
}