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Aug 3, 2023 · In this paper, we provide quantitative metrics to assess the quality of link prediction explanations, with or without ground-truth.
Oct 21, 2023 · In this paper, we provide quantitative metrics to assess the quality of link prediction explanations, with or without ground-truth.
Oct 30, 2023 · In this paper, we provide quantitative metrics to assess the quality of link prediction explanations, with or without ground-truth. State-of-the ...
Link prediction attempts to predict whether an unseen edge exists based on only a portion of edges of a graph. A flurry of methods have been introduced in ...
Missing: Explanations | Show results with:Explanations
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and ...
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Feb 2, 2024 · Link prediction attempts to predict whether an unseen edge exists based on only a portion of the graph. A flurry of methods has been created in recent years ...
In this paper, we provide quantitative metrics to assess the quality of link prediction explanations, with or without ground-truth. State-of-the-art ...
May 7, 2024 · Claudio Borile, Alan Perotti , André Panisson: Evaluating Link Prediction Explanations for Graph Neural Networks. CoRR abs/2308.01682 (2023).
Jun 18, 2023 · Link prediction attempts to predict whether an unseen edge exists based on only a portion of edges of a graph.
Missing: Explanations | Show results with:Explanations
May 30, 2024 · Link prediction attempts to predict whether an unseen edge exists based on only a portion of edges of a graph. A flurry of methods have been ...
Missing: Explanations | Show results with:Explanations
Link prediction is a key problem for network-structured data. Link prediction heuristics use some score functions, such as common neighbors and Katz index,.
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