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- research-articleSeptember 2024JUST ACCEPTED
Assessing the Spatial-Temporal Causal Impact of COVID-19 Related Policies on Epidemic Spread
ACM Transactions on Knowledge Discovery from Data (TKDD), Just Accepted https://doi.org/10.1145/3697841Analyzing the causal impact of various government-related policies on the epidemic spread is of critical importance. This paper aims to investigate the problem of assessing the causal effects of different COVID-19 related policies on the USA epidemic ...
- research-articleSeptember 2024
Tensor recovery in high-dimensional Ising models
Journal of Multivariate Analysis (JMUL), Volume 203, Issue Chttps://doi.org/10.1016/j.jmva.2024.105335AbstractThe k-tensor Ising model is a multivariate exponential family on a p-dimensional binary hypercube for modeling dependent binary data, where the sufficient statistic consists of all k-fold products of the observations, and the parameter is an ...
- research-articleSeptember 2024
HGDO: An oversampling technique based on hypergraph recognition and Gaussian distribution
Information Sciences: an International Journal (ISCI), Volume 679, Issue Chttps://doi.org/10.1016/j.ins.2024.120891AbstractThe synthetic minority oversampling technique (SMOTE) is the most prevalent solution in class imbalance learning. While SMOTE and its variant methods handle imbalanced data well in most cases, they fail to take full advantage of the structural ...
- ArticleAugust 2024
Attention-Based Hypergraph Knowledge Tracing
Advanced Intelligent Computing Technology and ApplicationsPages 480–491https://doi.org/10.1007/978-981-97-5618-6_40AbstractKnowledge tracing is a crucial aspect of intelligent education. It obtains the learner’s knowledge state by analyzing the historical interaction records of learners’ online responses. In past research, obtaining students’ knowledge state is a huge ...
- research-articleAugust 2024
Normalized Laplacian Eigenvalues of Hypergraphs
AbstractIn this paper, we give tight bounds for the normalized Laplacian eigenvalues of hypergraphs that are not necessarily uniform, and provide an edge version interlacing theorem, a Cheeger inequality, and a discrepancy inequality that are related to ...
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- research-articleJuly 2024
Light dual hypergraph convolution for collaborative filtering
AbstractRecommender systems filter information to meet users’ personalized interests actively. Existing graph-based models typically extract users’ interests from a heterogeneous interaction graph. They do not distinguish learning between users and items,...
Highlights- Homogeneous user/item correlations bring entangled CF signals beyond the single CF signal in heterogeneous user-item interactions, which enables hybrid learning with much more reliable CF signals to alleviate interaction sparsity and ...
- research-articleJuly 2024
Multi-modal trajectory forecasting with Multi-scale Interactions and Multi-pseudo-target Supervision
AbstractTrajectory forecasting is crucial for the advancement of autonomous vehicles. While much progress has been made, extant approaches often fall short in accounting for intricate social interactions and the unpredictability of human behavior. This ...
- research-articleJuly 2024
Popularity prediction with semantic retrieval for news recommendation
Expert Systems with Applications: An International Journal (EXWA), Volume 247, Issue Chttps://doi.org/10.1016/j.eswa.2024.123308AbstractNews recommendation (NR) is critical for helping users to navigate the vast amount of information on online news platforms. However, the key challenges of tackling the cold-start problem, comprehensively modeling user interests and accurately ...
- ArticleJuly 2024
- research-articleJuly 2024
Turán theorems for even cycles in random hypergraph
Journal of Combinatorial Theory Series B (JCTB), Volume 167, Issue CPages 23–54https://doi.org/10.1016/j.jctb.2024.02.002AbstractLet F be a family of r-uniform hypergraphs. The random Turán number ex ( G n , p r , F ) is the maximum number of edges in an F-free subgraph of G n , p r, where G n , p r is the Erdős-Rényi random r-graph with parameter p. Let C ℓ r denote the r-...
- research-articleJuly 2024
Self-paced regularized adaptive multi-view unsupervised feature selection
AbstractMulti-view unsupervised feature selection (MUFS) is an efficient approach for dimensional reduction of heterogeneous data. However, existing MUFS approaches mostly assign the samples the same weight, thus the diversity of samples is not utilized ...
- research-articleJuly 2024
Modeling microservice architectures
Journal of Systems and Software (JSSO), Volume 213, Issue Chttps://doi.org/10.1016/j.jss.2024.112041AbstractModern microservice architectures demand new features from traditional architecture description languages, many of them related to the complexity of the modeled systems. This paper first identifies common concerns found in microservice ...
Highlights- Abstract modeling language for microservice-based architectures.
- Concerns and requirements for modeling microservice-based architectures.
- Definition of an architectural style through a hierarchical type hypergraph.
- Deployment ...
- research-articleJuly 2024
DSAMR: Dual-Stream Attention Multi-hop Reasoning for knowledge-based visual question answering
Expert Systems with Applications: An International Journal (EXWA), Volume 245, Issue Chttps://doi.org/10.1016/j.eswa.2023.123092AbstractKnowledge-based visual question answering aims to associate external knowledge facts for answering questions about images. Most existing methods emphasize high-order associations between knowledge facts and questions, and fail to consider the ...
Highlights- A dual-stream attention multi-hop reasoning architecture to enhances model’s reasoning ability.
- A hypergraph knowledge extraction method is proposed.
- The proposed model achieves competitive results compared to latest baselines.
- research-articleJune 2024
- research-articleJuly 2024
A finite element-inspired hypergraph neural network: Application to fluid dynamics simulations
Journal of Computational Physics (JOCP), Volume 504, Issue Chttps://doi.org/10.1016/j.jcp.2024.112866AbstractAn emerging trend in deep learning research focuses on the applications of graph neural networks (GNNs) for mesh-based continuum mechanics simulations. Most of these learning frameworks operate on graphs wherein each edge connects two nodes. ...
Highlights- Data-driven surrogate model via hypergraph neural network.
- Finite element-inspired hypergraph connectivity and network architecture.
- Stabilized and accurate predictions of flow around bluff and streamlined bodies.
- Accurate lift ...
- research-articleApril 2024
Representative and Back-In-Time Sampling from Real-world Hypergraphs
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 18, Issue 6Article No.: 156, Pages 1–48https://doi.org/10.1145/3653306Graphs are widely used for representing pairwise interactions in complex systems. Since such real-world graphs are large and often evergrowing, sampling subgraphs is useful for various purposes, including simulation, visualization, stream processing, ...
- research-articleApril 2024
Link prediction in social networks using hyper-motif representation on hypergraph
AbstractLink prediction, a critical pursuit in complex networks research, revolves around the predictive understanding of connections between nodes. Our novel approach introduces a hypergraph to model the network, diverging from the conventional “node–...
- research-articleApril 2024
Advancing VANET stability: enhanced cluster head selection with iTTM and weighted CRITIC
The Journal of Supercomputing (JSCO), Volume 80, Issue 11Pages 16133–16172https://doi.org/10.1007/s11227-024-06049-1AbstractVehicle ad hoc networks (VANETs) have garnered considerable attention for their potential to enhance road safety and facilitate advanced driver assistance systems. A fundamental aspect of VANET is the formation of stable clusters and cluster heads ...
- research-articleJuly 2024
HSG-MGAF Net: Heterogeneous subgraph-guided multiscale graph attention fusion network for interpretable prediction of whole-slide image
Computer Methods and Programs in Biomedicine (CBIO), Volume 247, Issue Chttps://doi.org/10.1016/j.cmpb.2024.108099Highlights- Developed a HSG-MGAF net to adaptively establish low-order and potential high-order spatial relationships of patches for interpretable prediction of giga-pixel WSI.
- Embeds a Top-2k heterogeneous subgraph to guide hierarchical multi-...
Pathological whole slide image (WSI) prediction and region of interest (ROI) localization are important issues in computer-aided diagnosis and postoperative analysis in clinical applications. Existing computer-aided ...
- research-articleJune 2024
Anti-Ramsey number of disjoint union of star-like hypergraphs
AbstractGiven an r-graph (or r-uniform hypergraph) F, the anti-Ramsey number ar ( n , r , F ) is the minimum number c of colors such that for any edge-coloring of the complete r-graph K n r on n vertices with at least c colors, there is a subgraph F of K ...