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Link prediction attempts to predict whether an unseen edge exists based on only a portion of edges of a graph.
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Evaluating link prediction methods
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The precision-recall plot is more informative than the roc plot when evaluating binary classifiers on imbalanced datasets
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Open graph benchmark: Datasets for machine learning on graphs
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Bringing light into the dark: A large-scale evaluation of knowledge graph embedding models under a unified framework
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Semi-supervised classification with graph convolutional networks
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Link prediction based on graph neural networks
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Network-based prediction of protein interactions
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Graph convolutional networks for text classification
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Neo-gnns: Neighborhood overlap-aware graph neural networks for link prediction
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Neural bellman-ford networks: A general graph neural network framework for link prediction
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Labeling trick: A theory of using graph neural networks for multi-node representation learning
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Pairwise learning for neural link prediction
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Graph neural networks for link prediction with subgraph sketching
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Equivariant and stable positional encoding for more powerful graph neural networks
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Benchmarking graph neural networks
Vijay Prakash Dwivedi, Chaitanya K Joshi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, and Xavier Bresson · 2023
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Neural common neighbor with completion for link prediction
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Link prediction without graph neural networks
Zexi Huang, Mert Kosan, Arlei Silva, and Ambuj Singh · 2023
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