Pytorch Geometric Tutorial
antoniolonga.github.io › Pytorch_geometricMay 07, 2021 · Later, we propose the use of Node2Vec for edge-label prediction. In particular, we build a node embedding, then we compute the edge embedding as the mean of the nodes embedding of the link. Then, we use the node embedding and Random Forest Classifier for edge label prediction. Pytorch Geometric tutorial: Edge analysis
Link Property Prediction | Open Graph Benchmark
https://ogb.stanford.edu/docs/linkpropPrediction task: The task is to predict new association edges given the training edges. The evaluation is based on how well a model ranks positive test edges over negative test edges. Specifically, we rank each positive edge in the validation/test set against 3,000,000 randomly-sampled negative edges, and count the ratio of positive edges that are ranked at K-th place or …