[
  {
    "BLEU-4": 38.97,
    "code_links": [
      {
        "title": "IBM/Graph2Seq",
        "url": "https://github.com/IBM/Graph2Seq"
      },
      {
        "title": "Attn-to-FC/Attn-to-FC",
        "url": "https://github.com/Attn-to-FC/Attn-to-FC"
      },
      {
        "title": "ReleasedBrainiac/GraphToSequenceNN",
        "url": "https://github.com/ReleasedBrainiac/GraphToSequenceNN"
      },
      {
        "title": "RandolphVI/Graph2Seq",
        "url": "https://github.com/RandolphVI/Graph2Seq"
      }
    ],
    "date": "2018-04-03",
    "date2": 20180403,
    "model": "Graph2Seq-PGE",
    "paper": {
      "title": "Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks",
      "url": "https://cknow.io/lib/6697f54d3abe6b6a"
    },
    "paper_data_uoa": "6697f54d3abe6b6a"
  },
  {
    "BLEU-4": 35.53,
    "code_links": [
      {
        "title": "Microsoft/gated-graph-neural-network-samples",
        "url": "https://github.com/Microsoft/gated-graph-neural-network-samples"
      },
      {
        "title": "JamesChuanggg/ggnn.pytorch",
        "url": "https://github.com/JamesChuanggg/ggnn.pytorch"
      },
      {
        "title": "yujiali/ggnn",
        "url": "https://github.com/yujiali/ggnn"
      },
      {
        "title": "bdqnghi/bi-tbcnn",
        "url": "https://github.com/bdqnghi/bi-tbcnn"
      },
      {
        "title": "entslscheia/GGNN_Reasoning",
        "url": "https://github.com/entslscheia/GGNN_Reasoning"
      },
      {
        "title": "bdqnghi/ggnn_graph_classification",
        "url": "https://github.com/bdqnghi/ggnn_graph_classification"
      }
    ],
    "date": "2015-11-17",
    "date2": 20151117,
    "model": "GGS-NN",
    "paper": {
      "title": "Gated Graph Sequence Neural Networks",
      "url": "https://cknow.io/lib/04156b8671899a7f"
    },
    "paper_data_uoa": "04156b8671899a7f"
  }
]