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Smart contracts are self-executing digital agreements that automatically enforce the terms between parties, playing a crucial role in blockchain systems. However, due to the potential losses of digital assets caused by vulnerabilities, the ...

Network embedding has numerous practical applications and has received extensive attention in graph learning, which aims at mapping vertices into a low-dimensional and continuous dense vector space by preserving the underlying structural properties of ...

Higher-order graph clustering aims to partition the graph using frequently occurring subgraphs (i.e., motifs), instead of the lower-order edges, as the atomic clustering unit, which has been recognized as the state-of-the-art solution in ground truth ...

Size-constrained community search, retrieving a size-bounded high-quality subgraph containing user-specified query vertices, has been extensively studied in graph analysis. However, existing methods mainly focus on the cohesiveness within the ...

• Conductance considers the internal and external structure of a community.
• The relationship between conductance and community size is non-monotonic.
• Key technologies: vertex score function and perturbation strategy.
• Both ...

Most natural language processing tasks rely on massive labeled data to train an outstanding neural network model. However, the label noise (i.e., wrong label) is inevitably introduced when annotating large-scale text datasets, which significantly ...

Deep learning has achieved outstanding performance in natural language processing, but actuality has witnessed its fragility against adversarial attacks. Synonyms-based attacks are most disastrous since their generated samples approximate raw inputs. ...

Graph Neural Networks (GNNs) have achieved remarkable performance in various applications, including social media analysis, computer vision, and natural language processing. Decoupled GNNs are a ubiquitous framework because of their high efficiency. ...

Blockchain has recently emerged as a research trend, with potential applications in a broad range of industries and context. One particular successful Blockchain technology is smart contract, which is widely used in commercial settings (e.g., high ...

Discovering vulnerabilities in smart contracts, particularly those that can be exploited, is challenging. Existing research efforts tend to focus on pre-tests or are not capable of dynamically protecting the deployed contracts without ...

In complex environments, the point cloud data obtained by LiDAR Often have shadows and occlusion, which greatly reduces the accuracy and the robustness of target classification. To solve this problem, this paper proposes a robust LiDAR point cloud ...

• We present a novel regression-based SR method that is built on neighbor reconstruction.
• We designed a new projector which has better numerical stability to adapt to our new problem.
• When the harvested samples are sparse on the ...

Super Resolution (SR) is a complex, ill-posed problem where the aim is to construct the mapping between the low and high resolution manifolds of image patches. Anchored neighborhood regression for SR (namely A+ [27]) has shown promising results. ...

• To our knowledge, DS-CAE is the first convolution-based deep learning method for unsupervised network representation learning.Similar to the convolution for ...

Network representation learning (NRL) aims to map vertices of a network into a low-dimensional space which preserves the network structure and its inherent properties. Most existing methods for network representation adopt shallow ...

This paper addresses the issue of control parameter uncertainties in total transfer capability (TTC) calculation for meshed transmission grids with VSC-HVDC. A new concept of TTC embodying control parameter uncertainties (TTCU) is first proposed. And then ...

A new immersed boundary method based on vorticity-velocity formulations for the simulation of 2D incompressible viscous flow is proposed in present paper. The velocity and vorticity are respectively divided into two parts: one is the velocity and ...