[
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    "RMSE": 19.1,
    "code_links": [
      {
        "title": "muhanzhang/IGMC",
        "url": "https://github.com/muhanzhang/IGMC"
      }
    ],
    "date": "2019-04-26",
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    "model": "IGMC",
    "paper": {
      "title": "Inductive Matrix Completion Based on Graph Neural Networks",
      "url": "https://cknow.io/lib/49f4bc0a695c10ba"
    },
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  },
  {
    "RMSE": 20,
    "code_links": [
      {
        "title": "mravanba/deep_exchangeable_tensors",
        "url": "https://github.com/mravanba/deep_exchangeable_tensors"
      }
    ],
    "date": "2018-03-07",
    "date2": 20180307,
    "model": "Factorized Exchangeable Autoencoder",
    "paper": {
      "title": "Deep Models of Interactions Across Sets",
      "url": "https://cknow.io/lib/d5441e2a10346bac"
    },
    "paper_data_uoa": "d5441e2a10346bac"
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  {
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    "code_links": [
      {
        "title": "tkipf/gae",
        "url": "https://github.com/tkipf/gae"
      },
      {
        "title": "riannevdberg/gc-mc",
        "url": "https://github.com/riannevdberg/gc-mc"
      },
      {
        "title": "zhanglabtools/DSMO.course",
        "url": "https://github.com/zhanglabtools/DSMO.course"
      },
      {
        "title": "tubamuzzaffar/gc2",
        "url": "https://github.com/tubamuzzaffar/gc2"
      },
      {
        "title": "tubamuzzaffar/gc",
        "url": "https://github.com/tubamuzzaffar/gc"
      }
    ],
    "date": "2017-06-07",
    "date2": 20170607,
    "model": "GC-MC",
    "paper": {
      "title": "Graph Convolutional Matrix Completion",
      "url": "https://cknow.io/lib/c558462bbcf499dc"
    },
    "paper_data_uoa": "c558462bbcf499dc"
  },
  {
    "RMSE": 22.872,
    "code_links": [
      {
        "title": "rofuyu/exp-grmf-nips15",
        "url": "https://github.com/rofuyu/exp-grmf-nips15"
      }
    ],
    "date": "2015-12-01",
    "date2": 20151201,
    "model": "GRALS",
    "paper": {
      "title": "Collaborative Filtering with Graph Information: Consistency and Scalable Methods",
      "url": "https://cknow.io/lib/4d2e0cc557342078"
    },
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]