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05/12/2023
Fisher Information Embedding for Node and Graph Learning
Attention-based graph neural networks (GNNs), such as graph attention ne...
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07/06/2022
Unsupervised Manifold Alignment with Joint Multidimensional Scaling
We introduce Joint Multidimensional Scaling, a novel approach for unsupe...
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06/02/2022
Approximate Network Motif Mining Via Graph Learning
Frequent and structurally related subgraphs, also known as network motif...
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02/07/2022
Structure-Aware Transformer for Graph Representation Learning
The Transformer architecture has gained growing attention in graph repre...
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06/10/2021
GraphiT: Encoding Graph Structure in Transformers
We show that viewing graphs as sets of node features and incorporating s...
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06/22/2020
An Optimal Transport Kernel for Feature Aggregation and its Relationship to Attention
We introduce a kernel for sets of features based on an optimal transport...
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03/11/2020
Convolutional Kernel Networks for Graph-Structured Data
We introduce a family of multilayer graph kernels and establish new link...
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08/27/2019
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning
MixUp is an effective data augmentation method to regularize deep neural...
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06/07/2019
