Daniele Grattarola
Publications by Year
Research Areas
Advanced Graph Neural Networks, Graph Theory and Algorithms, Complex Network Analysis Techniques, Topic Modeling, Machine Learning in Materials Science
Most-Cited Works
- → Graph Neural Networks with Convolutional ARMA Filters(2021)418 cited
- → Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes](2021)211 cited
- → Understanding Pooling in Graph Neural Networks(2022)107 cited
- → Spectral Clustering with Graph Neural Networks for Graph Pooling(2019)76 cited
- → Graph Neural Networks in TensorFlow and Keras with Spektral(2020)62 cited
- → Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling(2020)58 cited
- → Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds(2019)40 cited
- → Seizure localisation with attention-based graph neural networks(2022)31 cited
- Mincut pooling in Graph Neural Networks.(2019)
- → Adversarial autoencoders with constant-curvature latent manifolds(2019)29 cited