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08/23/2023
Graph Neural Stochastic Differential Equations
We present a novel model Graph Neural Stochastic Differential Equations ...
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06/07/2023
Neural Embeddings for Protein Graphs
Proteins perform much of the work in living organisms, and consequently ...
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11/26/2022
Latent Graph Inference using Product Manifolds
Graph Neural Networks usually rely on the assumption that the graph topo...
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11/13/2022
SCOTCH and SODA: A Transformer Video Shadow Detection Framework
Shadows in videos are difficult to detect because of the large shadow de...
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10/24/2022
Structure-based Drug Design with Equivariant Diffusion Models
Structure-based drug design (SBDD) aims to design small-molecule ligands...
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09/19/2022
Concept Embedding Models
Deploying AI-powered systems requires trustworthy models supporting effe...
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06/17/2022
Sheaf Neural Networks with Connection Laplacians
A Sheaf Neural Network (SNN) is a type of Graph Neural Network (GNN) tha...
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08/11/2021
Logic Explained Networks
The large and still increasing popularity of deep learning clashes with ...
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05/31/2021
Neural message passing for joint paratope-epitope prediction
Antibodies are proteins in the immune system which bind to antigens to d...
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10/25/2020
Now You See Me (CME): Concept-based Model Extraction
Deep Neural Networks (DNNs) have achieved remarkable performance on a ra...
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06/07/2020
Kolmogorov Regularization for Link Prediction
Link prediction in graphs is an important task in the fields of network ...
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04/12/2020
Principal Neighbourhood Aggregation for Graph Nets
Graph Neural Networks (GNNs) have been shown to be effective models for ...
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04/05/2020
Arbitrary Scale Super-Resolution for Brain MRI Images
Recent attempts at Super-Resolution for medical images used deep learnin...
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03/24/2020
ML-SIM: A deep neural network for reconstruction of structured illumination microscopy images
Structured illumination microscopy (SIM) has become an important techniq...
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06/24/2019
Proximal Distilled Evolutionary Reinforcement Learning
Reinforcement Learning (RL) has recently achieved tremendous success due...
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09/27/2018
Deep Graph Infomax
We present Deep Graph Infomax (DGI), a general approach for learning nod...
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10/30/2017
