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12/08/2022
Alleviating neighbor bias: augmenting graph self-supervise learning with structural equivalent positive samples
In recent years, using a self-supervised learning framework to learn the...
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11/29/2022
Data Privacy Protection in DeFi Protocols
With the development of decentralized finance (DeFi), the inherent limit...
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10/15/2022
Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative Representations
The pretasks are mainly built on mutual information estimation, which re...
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06/30/2021
Curvature Graph Neural Network
Graph neural networks (GNNs) have achieved great success in many graph-b...
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03/02/2021
Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks
One of the key problems of GNNs is how to describe the importance of nei...
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11/26/2020
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
When considering the spatial and temporal features of traffic, capturing...
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11/22/2020
AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting
Traffic forecasting is a fundamental and challenging task in the field o...
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09/28/2020
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification
Training a modern deep neural network on massive labeled samples is the ...
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06/20/2020
A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting
Accurate real-time traffic forecasting is a core technological problem a...
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03/07/2020
DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images
Change detection is a basic task of remote sensing image processing. The...
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01/27/2020
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification
Remote sensing image scene classification is a fundamental but challengi...
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12/25/2018
Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method
Convolutional neural networks (CNNs) are easily spoofed by adversarial e...
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10/22/2018