
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Graph Neural Networks (GNNs) have recently become increasingly popular d...
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SIGN: Scalable Inception Graph Neural Networks
Geometric deep learning, a novel class of machine learning algorithms ex...
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ncRNA Classification with Graph Convolutional Networks
Noncoding RNA (ncRNA) are RNA sequences which don't code for a gene but...
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Fake News Detection on Social Media using Geometric Deep Learning
Social media are nowadays one of the main news sources for millions of p...
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Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry
Deep neural networks have achieved state of the art accuracy at classify...
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Graph Neural Networks for IceCube Signal Classification
Tasks involving the analysis of geometric (graph and manifoldstructure...
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DualPrimal Graph Convolutional Networks
In recent years, there has been a surge of interest in developing deep l...
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PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
Deep learning systems have become ubiquitous in many aspects of our live...
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MotifNet: a motifbased Graph Convolutional Network for directed graphs
Deep learning on graphs and in particular, graph convolutional neural ne...
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Generative Convolutional Networks for Latent Fingerprint Reconstruction
Performance of fingerprint recognition depends heavily on the extraction...
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Geometric Matrix Completion with Recurrent MultiGraph Neural Networks
Matrix completion models are among the most common formulations of recom...
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Geometric deep learning on graphs and manifolds using mixture model CNNs
Deep learning has achieved a remarkable performance breakthrough in seve...
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Deep convolutional neural networks for pedestrian detection
Pedestrian detection is a popular research topic due to its paramount im...
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Federico Monti
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