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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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06/04/2023
Clarify Confused Nodes Through Separated Learning
Graph neural networks (GNNs) have achieved remarkable advances in graph-...
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05/17/2023
Exploring Inductive Biases in Contrastive Learning: A Clustering Perspective
This paper investigates the differences in data organization between con...
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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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03/14/2023
Sr-init: An interpretable layer pruning method
Despite the popularization of deep neural networks (DNNs) in many fields...
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01/24/2023
Neighborhood Homophily-Guided Graph Convolutional Network
Graph neural networks (GNNs) have achieved remarkable advances in graph-...
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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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12/20/2022
Data Augmentation on Graphs: A Survey
In recent years, graph representation learning has achieved remarkable s...
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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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10/30/2022
Time-aware Metapath Feature Augmentation for Ponzi Detection in Ethereum
With the development of Web 3.0 which emphasizes decentralization, block...
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10/23/2022
GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections
Graph neural networks (GNNs) have found successful applications in vario...
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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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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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04/28/2022
Improving robustness of language models from a geometry-aware perspective
Recent studies have found that removing the norm-bounded projection and ...
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04/28/2022
Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction
Blockchain finance has become a part of the world financial system, most...
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04/19/2022
Heterogeneous Feature Augmentation for Ponzi Detection in Ethereum
While blockchain technology triggers new industrial and technological re...
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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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03/10/2022
Hyperspectral Imaging for cherry tomato
Cherry tomato (Solanum Lycopersicum) is popular with consumers over the ...
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02/12/2022
DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity
Despite impressive capabilities and outstanding performance, deep neural...
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12/07/2021
BlockGC: A Joint Learning Framework for Account Identity Inference on Blockchain with Graph Contrast
Blockchain technology has the characteristics of decentralization, trace...
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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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11/22/2021
Graph-Based Similarity of Neural Network Representations
Understanding the black-box representations in Deep Neural Networks (DNN...
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10/28/2021
RGP: Neural Network Pruning through Its Regular Graph Structure
Lightweight model design has become an important direction in the applic...
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07/28/2021
Inferring Multiple Relationships between ASes using Graph Convolutional Network
Precisely understanding the business relationships between Autonomous Sy...
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07/09/2021
GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network
Deep Neural Networks (DNN) are known to be vulnerable to adversarial sam...
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06/16/2021
Adaptive Visibility Graph Neural Network and its Application in Modulation Classification
Our digital world is full of time series and graphs which capture the va...
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05/29/2021
Sustainability Forecasting for Apache Incubator Projects
Although OSS development is very popular, ultimately more than 80 percen...
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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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02/18/2021
HVAQ: A High-Resolution Vision-Based Air Quality Dataset
Air pollutants, such as particulate matter, strongly impact human health...
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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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02/16/2021
MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN
Magnetic induction tomography (MIT) is an efficient solution for long-te...
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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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07/21/2019
Open DNN Box by Power Side-Channel Attack
Deep neural networks are becoming popular and important assets of many A...
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06/15/2019
MV-C3D: A Spatial Correlated Multi-View 3D Convolutional Neural Networks
As the development of deep neural networks, 3D object recognition is bec...
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04/12/2019
N2VSCDNNR: A Local Recommender System Based on Node2vec and Rich Information Network
Recommender systems are becoming more and more important in our daily li...
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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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02/22/2019
