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Found 3 papers, 3 papers with code
Adversarial Examples on Graph Data: Deep Insights into Attack and Defense
Based on this observation, we propose a defense approach which inspects the graph and recovers the potential adversarial perturbations.
Efficient Representation Learning Using Random Walks for Dynamic Graphs
In this work, we propose computationally efficient algorithms for vertex representation learning that extend random walk based methods to dynamic graphs.
Evaluating approaches for supervised semantic labeling
Relational data sources are still one of the most popular ways to store enterprise or Web data, however, the issue with relational schema is the lack of a well-defined semantic description.
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