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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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12/31/2022
Targeted k-node Collapse Problem: Towards Understanding the Robustness of Local k-core Structure
The concept of k-core, which indicates the largest induced subgraph wher...
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08/27/2022
TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum
Due to the decentralized and public nature of the Blockchain ecosystem, ...
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11/30/2021
COREATTACK: Breaking Up the Core Structure of Graphs
The concept of k-core in complex networks plays a key role in many appli...
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11/24/2021
Graph Modularity: Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Neural Networks
There are good arguments to support the claim that feature representatio...
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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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12/19/2019
Field model for complex ionic fluids: analytical properties and numerical investigation
In this paper, we consider the field model for complex ionic fluids with...
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12/19/2019
Field model for complex ionic fluids
In this paper, we consider the field model for complex ionic fluids with...
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03/21/2019
Subgraph Networks with Application to Structural Feature Space Expansion
In this paper, the concept of subgraph network (SGN) is introduced and t...
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09/07/2016