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Found 4 papers, 2 papers with code
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
Predicting the potential relations between nodes in networks, known as link prediction, has long been a challenge in network science.
GC-LSTM: Graph Convolution Embedded LSTM for Dynamic Link Prediction
To the best of our knowledge, it is the first time that GCN embedded LSTM is put forward for link prediction of dynamic networks.
Social and Information Networks Physics and Society
Link Prediction Adversarial Attack
Deep neural network has shown remarkable performance in solving computer vision and some graph evolved tasks, such as node classification and link prediction.
Physics and Society Social and Information Networks
Fast Gradient Attack on Network Embedding
Network embedding maps a network into a low-dimensional Euclidean space, and thus facilitate many network analysis tasks, such as node classification, link prediction and community detection etc, by utilizing machine learning methods.
Physics and Society Social and Information Networks
