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Related publications (7)
Modeling Structured Data in Attention-based Models
Natural language processing has experienced significant improvements with the development of Transformer-based models, which employ self-attention mechanism and pre-training strategies. However, these models still present several obstacles. A notable issue ...
EPFL2023Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining
Unsupervised graph representation learning aims to learn low-dimensional node embeddings without supervision while preserving graph topological structures and node attributive features. Previous Graph Neural Networks (GNN) require a large number of labeled ...
New York2023Introducing dynamicity in JavaBIP
The JavaBIP framework allows the coordination of software components in an exogenous manner, while clearly separating the functional and coordination aspects of the system behaviour. JavaBIP implements the principles of the BIP component framework rooted i ...
2016