[
  {
    "Accuracy": 81.59,
    "code_links": [
      {
        "title": "facebookresearch/InferSent",
        "url": "https://github.com/facebookresearch/InferSent"
      },
      {
        "title": "facebookresearch/SentEval",
        "url": "https://github.com/facebookresearch/SentEval"
      },
      {
        "title": "ncbi-nlp/BioSentVec",
        "url": "https://github.com/ncbi-nlp/BioSentVec"
      },
      {
        "title": "ncbi-nlp/BioWordVec",
        "url": "https://github.com/ncbi-nlp/BioWordVec"
      },
      {
        "title": "korymath/jann",
        "url": "https://github.com/korymath/jann"
      },
      {
        "title": "idanmoradarthas/text-summarization",
        "url": "https://github.com/idanmoradarthas/text-summarization"
      },
      {
        "title": "ppapalampidi/SUMMER",
        "url": "https://github.com/ppapalampidi/SUMMER"
      },
      {
        "title": "ceshine/textrank_summary_benchmark",
        "url": "https://github.com/ceshine/textrank_summary_benchmark"
      },
      {
        "title": "contemn1/sentence_embeddings",
        "url": "https://github.com/contemn1/sentence_embeddings"
      },
      {
        "title": "jobdataexchange/competensor",
        "url": "https://github.com/jobdataexchange/competensor"
      },
      {
        "title": "f-data/ADD",
        "url": "https://github.com/f-data/ADD"
      },
      {
        "title": "domyounglee/text2cypher",
        "url": "https://github.com/domyounglee/text2cypher"
      },
      {
        "title": "Alleansa/eluvio",
        "url": "https://github.com/Alleansa/eluvio"
      },
      {
        "title": "joseph-bongo-220/TV_NLP_Project",
        "url": "https://github.com/joseph-bongo-220/TV_NLP_Project"
      },
      {
        "title": "MirkoLenz/ReCAP-Argument-Graph-Retrieval",
        "url": "https://github.com/MirkoLenz/ReCAP-Argument-Graph-Retrieval"
      },
      {
        "title": "krisbukovi/document_similarity",
        "url": "https://github.com/krisbukovi/document_similarity"
      }
    ],
    "date": "2018-03-29",
    "date2": 20180329,
    "model": "USE_T+CNN ",
    "paper": {
      "title": "Universal Sentence Encoder",
      "url": "https://cknow.io/lib/24cb1b4b84f89345"
    },
    "paper_data_uoa": "24cb1b4b84f89345"
  },
  {
    "Accuracy": 76.74,
    "code_links": [
      {
        "title": "plkmo/Bible_Text_GCN",
        "url": "https://github.com/plkmo/Bible_Text_GCN"
      },
      {
        "title": "koreyou/text-gcn-chainer",
        "url": "https://github.com/koreyou/text-gcn-chainer"
      },
      {
        "title": "codeKgu/text-gcn",
        "url": "https://github.com/codeKgu/text-gcn"
      },
      {
        "title": "yongbowin/Bible_Text_GCN_annotation",
        "url": "https://github.com/yongbowin/Bible_Text_GCN_annotation"
      }
    ],
    "date": "2018-09-15",
    "date2": 20180915,
    "model": "Text GCN",
    "paper": {
      "title": "Graph Convolutional Networks for Text Classification",
      "url": "https://cknow.io/lib/57ddd1e4784814b7"
    },
    "paper_data_uoa": "57ddd1e4784814b7"
  },
  {
    "Accuracy": 75.9,
    "code_links": [
      {
        "title": "Tiiiger/SGC",
        "url": "https://github.com/Tiiiger/SGC"
      },
      {
        "title": "marblet/GNN_models_pytorch_geometric",
        "url": "https://github.com/marblet/GNN_models_pytorch_geometric"
      },
      {
        "title": "reallygooday/60daysofudacity",
        "url": "https://github.com/reallygooday/60daysofudacity"
      },
      {
        "title": "cvignac/gnn_statistics",
        "url": "https://github.com/cvignac/gnn_statistics"
      },
      {
        "title": "snisher/Cora-Graph-Learning",
        "url": "https://github.com/snisher/Cora-Graph-Learning"
      }
    ],
    "date": "2019-02-19",
    "date2": 20190219,
    "model": "SGC",
    "paper": {
      "title": "Simplifying Graph Convolutional Networks",
      "url": "https://cknow.io/lib/111ae59d4e2ab614"
    },
    "paper_data_uoa": "111ae59d4e2ab614"
  },
  {
    "Accuracy": 75.9,
    "code_links": [
      {
        "title": "Tiiiger/SGC",
        "url": "https://github.com/Tiiiger/SGC"
      },
      {
        "title": "marblet/GNN_models_pytorch_geometric",
        "url": "https://github.com/marblet/GNN_models_pytorch_geometric"
      },
      {
        "title": "reallygooday/60daysofudacity",
        "url": "https://github.com/reallygooday/60daysofudacity"
      },
      {
        "title": "cvignac/gnn_statistics",
        "url": "https://github.com/cvignac/gnn_statistics"
      },
      {
        "title": "snisher/Cora-Graph-Learning",
        "url": "https://github.com/snisher/Cora-Graph-Learning"
      }
    ],
    "date": "2019-02-19",
    "date2": 20190219,
    "model": "SGCN",
    "paper": {
      "title": "Simplifying Graph Convolutional Networks",
      "url": "https://cknow.io/lib/111ae59d4e2ab614"
    },
    "paper_data_uoa": "111ae59d4e2ab614"
  }
]