Research Article
Link Prediction and Node Classification Based on Multitask Graph Autoencoder
Mixed local neighbor and path. | Input: edge list | Output: similarity matrix, AUC score | 1: Input adjacency matrix | 2: Divide all edges into the training set and probe set | 3: Construct the third-order path matrix with attenuation parameters | 4: Construct optimized common neighbor matrix | 5: Construct matrix based on the method of preferential attachment | 6: Calculate the similarity matrix that incorporates multiple methods | 7: Calculate the AUC score of the MLNP index |
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