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04/11/2023
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification
Learning unbiased node representations for imbalanced samples in the gra...
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01/28/2023
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
Contrastive Learning (CL) has been proved to be a powerful self-supervis...
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12/30/2022
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information
Most Graph Neural Networks follow the message-passing paradigm, assuming...
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11/15/2022
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems
Event detection in power systems aims to identify triggers and event typ...
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10/02/2022
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
Social networks are considered to be heterogeneous graph neural networks...
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08/17/2022
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing
Topology-imbalance is a graph-specific imbalance problem caused by the u...
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08/09/2022
Automating DBSCAN via Deep Reinforcement Learning
DBSCAN is widely used in many scientific and engineering fields because ...
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03/03/2022
Curvature Graph Generative Adversarial Networks
Generative adversarial network (GAN) is widely used for generalized and ...
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12/16/2021
Graph Structure Learning with Variational Information Bottleneck
Graph Neural Networks (GNNs) have shown promising results on a broad spe...
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10/15/2021
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
Graph Neural Networks (GNNs) have been widely studied in various graph d...
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06/13/2021
Convex Sparse Blind Deconvolution
In the blind deconvolution problem, we observe the convolution of an unk...
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05/22/2021
A Robust and Generalized Framework for Adversarial Graph Embedding
Graph embedding is essential for graph mining tasks. With the prevalence...
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04/12/2021
A Recipe for Global Convergence Guarantee in Deep Neural Networks
Existing global convergence guarantees of (stochastic) gradient descent ...
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01/20/2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
Graph representation learning has attracted increasing research attentio...
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09/18/2020
GRAC: Self-Guided and Self-Regularized Actor-Critic
Deep reinforcement learning (DRL) algorithms have successfully been demo...
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08/30/2020
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
Name disambiguation aims to identify unique authors with the same name. ...
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05/14/2020
How to Close Sim-Real Gap? Transfer with Segmentation!
One fundamental difficulty in robotic learning is the sim-real gap probl...
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03/07/2020
Stochastic Modified Equations for Continuous Limit of Stochastic ADMM
Stochastic version of alternating direction method of multiplier (ADMM) ...
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06/10/2019
Degrees of Freedom Analysis of Unrolled Neural Networks
Unrolled neural networks emerged recently as an effective model for lear...
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06/01/2018
Neural Proximal Gradient Descent for Compressive Imaging
Recovering high-resolution images from limited sensory data typically le...
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06/02/2016
Convolutional Imputation of Matrix Networks
A matrix network is a family of matrices, where the relationship between...
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03/10/2016