MR: 43MRR: 0.799Hits@10: 0.884Hits@3: 0.829
Papers with Code · CC BY-SA 4.0
Link Prediction
Link Prediction is a task in graph and network analysis where the goal is to predict missing or future connections between nodes in a network. Given a partially observed network, the goal of link prediction is to infer which links are most likely to be added or missing based on the observed connections and the structure of the network.
<span style="color:grey; opacity: 0.6">( Image credit: Inductive Representation Learning on Large Graphs )</span>
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
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Dataset기록된 모델 예시MetricPaperCode
데이터셋
93개논문
MRR: 0.782Hits@10: 0.887Hits@3: 0.826Hits@1: 0.720
MRR: 0.841Hits@10: 0.914
Hits@10: 0.901Hits@1: 0.727Hits@3: 0.848MR: 21
MRR: 0.861Hits@10: 0.914
MR: 74MRR: 0.779Hits@10: 0.876Hits@3: 0.818
MRR: 0.790Hits@10: 0.885Hits@3: 0.829Hits@1: 0.734
MRR: 0.806Hits@10: 0.893Hits@3: 0.843Hits@1: 0.754
MR: 17MRR: 0.833Hits@10: 0.900Hits@3: 0.859
MRR: 0.825Hits@10: 0.886Hits@3: 0.841Hits@1: 0.792
MRR: 0.795Hits@10: 0.892Hits@3: 0.833Hits@1: 0.741
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