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06/23/2023
PathMLP: Smooth Path Towards High-order Homophily
Real-world graphs exhibit increasing heterophily, where nodes no longer ...
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06/06/2023
Subgraph Networks Based Contrastive Learning
Graph contrastive learning (GCL), as a self-supervised learning method, ...
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05/04/2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning
Graph neural networks (GNNs) have achieved remarkable success in various...
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11/02/2022
Discover Important Paths in the Knowledge Graph Based on Dynamic Relation Confidence
Most of the existing knowledge graphs are not usually complete and can b...
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06/16/2022
Dual-channel Early Warning Framework for Ethereum Ponzi Schemes
Blockchain technology supports the generation and record of transactions...
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04/05/2022
Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition
With the rapid development of deep learning, automatic modulation recogn...
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10/13/2021
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning
Graph neural network (GNN) models have achieved great success on graph r...
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04/18/2021
TSGN: Transaction Subgraph Networks for Identifying Ethereum Phishing Accounts
Blockchain technology and, in particular, blockchain-based transaction o...
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04/17/2021
Ponzi Scheme Detection in EthereumTransaction Network
With the rapid growth of blockchain, an increasing number of users have ...
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04/14/2021
Identity Inference on Blockchain using Graph Neural Network
The anonymity of blockchain has accelerated the growth of illegal activi...
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02/16/2021
Temporal-Amount Snapshot MultiGraph for Ethereum Transaction Tracking
With the wide application of blockchain in the financial field, the rise...
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07/11/2020
M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification
Graph classification, which aims to identify the category labels of grap...
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04/12/2019