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Found 8 papers, 1 papers with code
Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model
Based on the above observations, we first devise a Serpentine Interwoven Adaptive (SIA) scan mechanism, which scans UWF-SLO images along curved vessel structures in a snake-like crawling manner.
Potential destination discovery for low predictability individuals based on knowledge graph
We first construct a trip knowledge graph (TKG) to model the trip scenario by entities (e. g., travelers, destinations and time information) and their relationships, in which we introduce the concept of private relationship for complexity reduction.
Probabilistic Outlier Detection and Generation
A new method for outlier detection and generation is introduced by lifting data into the space of probability distributions which are not analytically expressible, but from which samples can be drawn using a neural generator.
Scalable Low-Rank Tensor Learning for Spatiotemporal Traffic Data Imputation
Recent studies based on tensor nuclear norm have demonstrated the superiority of tensor learning in imputation tasks by effectively characterizing the complex correlations/dependencies in spatiotemporal data.
MGA: Momentum Gradient Attack on Network
The adversarial attack methods based on gradient information can adequately find the perturbations, that is, the combinations of rewired links, thereby reducing the effectiveness of the deep learning model based graph embedding algorithms, but it is also easy to fall into a local optimum.
Social and Information Networks
Multiscale Evolutionary Perturbation Attack on Community Detection
In this paper, we formalize this community detection attack problem in three scales, including global attack (macroscale), target community attack (mesoscale) and target node attack (microscale).
Social and Information Networks Physics and Society
GA Based Q-Attack on Community Detection
In particular, we first give two heuristic attack strategies, i. e., Community Detection Attack (CDA) and Degree Based Attack (DBA), as baselines, utilizing the information of detected community structure and node degree, respectively.
Social and Information Networks
Fast Gradient Attack on Network Embedding
Network embedding maps a network into a low-dimensional Euclidean space, and thus facilitate many network analysis tasks, such as node classification, link prediction and community detection etc, by utilizing machine learning methods.
Physics and Society Social and Information Networks
