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02/22/2023
Time-varying Signals Recovery via Graph Neural Networks
The recovery of time-varying graph signals is a fundamental problem with...
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02/21/2023
Higher-order Sparse Convolutions in Graph Neural Networks
Graph Neural Networks (GNNs) have been applied to many problems in compu...
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12/05/2022
Understanding the Relationship between Over-smoothing and Over-squashing in Graph Neural Networks
Graph Neural Networks (GNNs) have been successfully applied in many appl...
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01/24/2022
Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization
The discovery of drug-target interactions (DTIs) is a very promising are...
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11/10/2021
Topic-aware latent models for representation learning on networks
Network representation learning (NRL) methods have received significant ...
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08/10/2021
Learning to Maximize Influence
As the field of machine learning for combinatorial optimization advances...
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06/09/2021
Multiple Kernel Representation Learning on Networks
Learning representations of nodes in a low dimensional space is a crucia...
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04/18/2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks
Graph Neural Networks (GNNs) achieve significant performance for various...
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10/01/2020
N odeS ig: Random Walk Diffusion meets Hashing for Scalable Graph Embeddings
Learning node representations is a crucial task with a plethora of inter...
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11/20/2019
Exponential Family Graph Embeddings
Representing networks in a low dimensional latent space is a crucial tas...
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09/08/2019
Kernel Node Embeddings
Learning representations of nodes in a low dimensional space is a crucia...
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04/18/2019
Influence Maximization via Representation Learning
Although influence maximization has been studied extensively in the past...
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10/16/2018
TNE: A Latent Model for Representation Learning on Networks
Network representation learning (NRL) methods aim to map each vertex int...
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09/07/2018
BiasedWalk: Biased Sampling for Representation Learning on Graphs
Network embedding algorithms are able to learn latent feature representa...
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07/13/2018
