Structure-based drug design (SBDD), which utilizes the three-dimensional...
Generating molecules with high binding affinities to target proteins (a....
Deep neural networks (DNNs) are recently shown to be vulnerable to backd...
Federated recommendation (FedRec) can train personalized recommenders wi...
Federated learning is vulnerable to poisoning attacks in which malicious...
The Transformer architecture has achieved remarkable success in a number...
Due to its distributed nature, federated learning is vulnerable to poiso...
Many data mining tasks rely on graphs to model relational structures amo...
Federated learning (FL) is vulnerable to model poisoning attacks, in whi...
Despite the recent progress in Graph Neural Networks (GNNs), it remains
...
Predicting molecular properties with data-driven methods has drawn much
...
As machine learning becomes more widely used for critical applications, ...
Node classification and graph classification are two basic graph analyti...