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Subgraph classification through neighborhood pooling
(2023-06-01)
Subgraph classification is an emerging field in graph representation learning where the task is to classify a group of nodes (i.e., a subgraph) within a graph. Graph neural networks (GNNs) are the de facto solution for ...
Scalable subgraph representation learning through simplification
(2023-06-01)
Link prediction on graphs is a fundamental problem. Subgraph representation learning approaches (SGRLs), by transforming link prediction to graph classification on the subgraphs around the links, have achieved state-of-the-art ...
Preferential proximal policy optimization in reinforcement learning
(2023-12-01)
The Proximal Policy Optimization (PPO), a policy gradient method, excels in reinforcement learning with its ”surrogate” objective function and stochastic gradient ascent. However, PPO does not fully consider the significance ...
Identification and characterization novel of cystine-loop ligand- gated chloride channels from Dirofilaria immitis: pharmacological analysis and novel compound screening
(2023-12-01)
Dirofilaria immitis, otherwise known as heartworm, is a parasite that infects the hearts of dogs and causes serious health consequences. While preventative treatments are available drug resistance is developing at an ...