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Models/Dual-AMN

Dual-AMN

Reported on 10 benchmarks across 2 tasks · 1 paper · 8 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Knowledge Base10 results

  • Data IntegrationonDBP15k zh-en
    Hits@1· uses extra data· 2021-03-29
    0.861
    best: 0.973 (MEAformer)
    SOTA
    Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample MiningarXiv:2103.15452
  • Data IntegrationonYAGO-WIKI50K
    Hit@1· 2021-03-29
    89.7
    best: 98.1 (DualMatch)
    SOTA
    Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample MiningarXiv:2103.15452
  • Data Integrationondbp15k ja-en
    Hits@1· uses extra data· 2021-03-29
    0.892
    best: 0.991 (MEAformer)
    SOTA
    Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample MiningarXiv:2103.15452
  • Data Integrationondbp15k fr-en
    Hits@1· uses extra data· 2021-03-29
    0.954
    best: 0.996 (MEAformer)
    SOTA
    Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample MiningarXiv:2103.15452
  • Entity AlignmentonDBP15k zh-en
    Hits@1· uses extra data· 2021-03-29
    0.861
    best: 0.973 (MEAformer)
    SOTA
    Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample MiningarXiv:2103.15452
  • Entity AlignmentonYAGO-WIKI50K
    Hit@1· 2021-03-29
    89.7
    best: 98.1 (DualMatch)
    SOTA
    Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample MiningarXiv:2103.15452
  • Entity Alignmentondbp15k ja-en
    Hits@1· uses extra data· 2021-03-29
    0.892
    best: 0.991 (MEAformer)
    SOTA
    Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample MiningarXiv:2103.15452
  • Entity Alignmentondbp15k fr-en
    Hits@1· uses extra data· 2021-03-29
    0.954
    best: 0.996 (MEAformer)
    SOTA
    Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample MiningarXiv:2103.15452
  • Data IntegrationonDICEWS-1K
    Hit@1· 2021-03-29
    71.6
    best: 95.3 (DualMatch)
    Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample MiningarXiv:2103.15452
  • Entity AlignmentonDICEWS-1K
    Hit@1· 2021-03-29
    71.6
    best: 95.3 (DualMatch)
    Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample MiningarXiv:2103.15452