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06/13/2023
Inferring dynamic regulatory interaction graphs from time series data with perturbations
Complex systems are characterized by intricate interactions between enti...
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08/15/2022
Learnable Filters for Geometric Scattering Modules
We propose a new graph neural network (GNN) module, based on relaxations...
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06/15/2022
Taxonomy of Benchmarks in Graph Representation Learning
Graph Neural Networks (GNNs) extend the success of neural networks to gr...
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06/03/2022
Can Hybrid Geometric Scattering Networks Help Solve the Maximal Clique Problem?
We propose a geometric scattering-based graph neural network (GNN) for a...
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01/22/2022
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks
Geometric deep learning (GDL) has made great strides towards generalizin...
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10/27/2021
Towards a Taxonomy of Graph Learning Datasets
Graph neural networks (GNNs) have attracted much attention due to their ...
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10/28/2020
Geometric Scattering Attention Networks
Geometric scattering has recently gained recognition in graph representa...
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10/06/2020
Data-Driven Learning of Geometric Scattering Networks
Graph neural networks (GNNs) in general, and graph convolutional network...
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03/18/2020