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https://www.easychair.org/publications/keyword/Sk3z Keyword: hypergraph keywordhypergraph https://www.preprints.org/manuscript/202504.0600 Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation[v2]... Large language models (LLMs) have transformed various sectors, including education, finance, and medicine, by enhancing content generation and decision-making... https://arxiv.org/abs/2102.02272v2 [2102.02272v2] Coupled Hypergraph Maps and Chaotic Cluster Synchronization Abstract page for arXiv paper 2102.02272v2: Coupled Hypergraph Maps and Chaotic Cluster Synchronization 2102coupledhypergraphmapschaotic https://deepai.org/publication/relaxation-based-coarsening-for-multilevel-hypergraph-partitioning Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning | DeepAI Oct 18, 2017 - 10/18/17 - Multilevel partitioning methods that are inspired by principles of multiscaling are the most powerful practical hypergraph partiti... relaxationbasedmultilevelhypergraphpartitioning https://openreview.net/forum?id=q6WtaLj8O1&referrer=%5Bthe%20profile%20of%20Chenqi%20Qiao%5D(%2Fprofile%3Fid%3D~Chenqi_Qiao1) Fully Hyperbolic Representation Learning on Knowledge Hypergraph | OpenReview Knowledge hypergraphs generalize knowledge graphs in terms of utilizing hyperedges to connect multiple entities and represent complicated relations within... representation learningfullyhyperbolicknowledgehypergraph https://www.sri.com/publication/information-computer-science-pubs/tracking-group-targets-using-hypergraph-matching-in-data-association/ Tracking Group Targets Using Hypergraph Matching in Data Association - SRI Apr 14, 2023 - This paper reformulates the traditional MTT data association problem as an hypergraph matching one between the hypergraphs formed from tracks and observations. hypergraph matchingdata associationtrackinggrouptargets https://openreview.net/forum?id=JJQbk2hIQ5 [Re] Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning | OpenReview Reproducibility report for paper "Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning" metric learninghypergraphinducedsemantictuplet https://openreview.net/forum?id=hpBTIv2uy_E You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks | OpenReview Hypergraphs are used to model higher-order interactions amongst agents and there exist many practically relevant instances of hypergraph datasets. To enable... you are https://openreview.net/forum?id=IC7b3EQ7wB MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network | OpenReview Property prediction plays an important role in material discovery. As an initial step to eventually develop a foundation model for material science, we... graph neural networkhypergraph grammar https://easychair.org/publications/keyword/Sk3z Keyword: hypergraph keywordhypergraph https://arxiv.org/abs/1302.1634 [1302.1634] Hypergraph limits: a regularity approach Abstract page for arXiv paper 1302.1634: Hypergraph limits: a regularity approach 13021634hypergraphlimitsregularity https://aclanthology.org/2021.rocling-1.33/ Multi-Label Classification of Chinese Humor Texts Using Hypergraph Attention Networks - ACL... Hao-Chuan Kao, Man-Chen Hung, Lung-Hao Lee, Yuen-Hsien Tseng. Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING... multi label classificationchinese humor https://dev.to/t/hypergraph Hypergraph - DEV Community hypergraph content on DEV Community hypergraphdevcommunity https://arxiv.org/abs/2211.13343 [2211.13343] Supervised Hypergraph Reconstruction Abstract page for arXiv paper 2211.13343: Supervised Hypergraph Reconstruction 221113343supervisedhypergraphreconstruction https://deepai.org/publication/groupnet-multiscale-hypergraph-neural-networks-for-trajectory-prediction-with-relational-reasoning GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning... Apr 19, 2022 - 04/19/22 - Demystifying the interactions among multiple agents from their past trajectories is fundamental to precise and interpretable traje... neural networksmultiscalehypergraph https://arxiv.org/abs/2408.16457 [2408.16457] HYGENE: A Diffusion-based Hypergraph Generation Method Abstract page for arXiv paper 2408.16457: HYGENE: A Diffusion-based Hypergraph Generation Method 2408hygenediffusionbasedhypergraph https://jmlr.org/papers/v24/22-0305.html Augmented Sparsifiers for Generalized Hypergraph Cuts augmentedgeneralizedhypergraphcuts https://circuitpartitioning.org/ Hypergraph partitioning and mapping with path-length awareness path lengthhypergraphpartitioningmappingawareness https://arxiv.org/abs/2512.10621 [2512.10621] Efficient Hypergraph Pattern Matching via Match-and-Filter and Intersection Constraint Abstract page for arXiv paper 2512.10621: Efficient Hypergraph Pattern Matching via Match-and-Filter and Intersection Constraint pattern matching https://arxiv.org/abs/1806.08304 [1806.08304] Hypergraph Categories Abstract page for arXiv paper 1806.08304: Hypergraph Categories 180608304hypergraphcategories https://openreview.net/forum?id=Xv_s64FiXTv Learning to Represent Action Values as a Hypergraph on the Action Vertices | OpenReview Action-value estimation is a critical component of many reinforcement learning (RL) methods whereby sample complexity relies heavily on how fast a good... as a https://openreview.net/forum?id=3LWN0Z_tUJ&referrer=%5Bthe%20profile%20of%20Lei%20Wang%5D(%2Fprofile%3Fid%3D~Lei_Wang1) Robust fused hypergraph neural networks for multi-label classification | OpenReview Deep neural networks have been adopted in multi-label classification for their excellent performance, however, existing methods fail to comprehensively utilize... multi label classificationneural networksrobustfusedhypergraph https://arxiv.org/abs/2208.06503v1 [2208.06503v1] Hypergraph reconstruction from noisy pairwise observations Abstract page for arXiv paper 2208.06503v1: Hypergraph reconstruction from noisy pairwise observations 2208hypergraphreconstructionnoisypairwise https://deepai.org/publication/hypergraph-regularity-and-random-sampling Hypergraph regularity and random sampling | DeepAI Oct 4, 2021 - 10/04/21 - Suppose a k-uniform hypergraph H that satisfies a certain regularity instance (that is, there is a partition of H given by the hyp... random samplinghypergraphregularitydeepai https://arxiv.org/abs/2403.20214 [2403.20214] Hypergraph adjusted plus-minus Abstract page for arXiv paper 2403.20214: Hypergraph adjusted plus-minus 240320214hypergraphadjustedplus https://arxiv.org/abs/2504.08710v1 [2504.08710v1] Hypergraph Vision Transformers: Images are More than Nodes, More than Edges Abstract page for arXiv paper 2504.08710v1: Hypergraph Vision Transformers: Images are More than Nodes, More than Edges more than2504hypergraphvisiontransformers https://openreview.net/forum?id=XgRbxO9pLJ HEARTS: Hypergraph-based Related Table Search | OpenReview Recent related table search methods leverage tabular representation learning and language models to encode tables into vector representations for efficient... heartshypergraphbasedrelatedtable https://arxiv.org/abs/2409.11676 [2409.11676] Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning Abstract page for arXiv paper 2409.11676: Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning https://www.amazon.science/publications/from-hypergraph-energy-functions-to-hypergraph-neural-networks From hypergraph energy functions to hypergraph neural networks - Amazon Science Hypergraphs are a powerful abstraction for representing higher-order interactions between entities of interest. To exploit these relationships in making... neural networkshypergraphenergyfunctionsamazon https://openreview.net/forum?id=Fy9bZ85xiX&referrer=%5Bthe%20profile%20of%20Yongsen%20Zheng%5D(%2Fprofile%3Fid%3D~Yongsen_Zheng1) Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for... The Matthew effect is a big challenge in Recommender Systems (RSs), where popular items tend to receive increasing attention, while less popular ones are often... self supervised learningmatthew effectmitigatingmultihypergraph https://www.coinspeaker.com/constellation-network-project-submissions-hypergraph-protocol/ Constellation Network Rolls Out Project Submissions to Encourage Hypergraph Protocol App... Apr 28, 2021 - Constellation Network, pioneers of the L_0 token standard, is inviting applications from entrepreneurs willing to build apps and businesses on its Hypergraph... constellation networkrollsproject https://www.hypergraph.it/ Hypergraph | Graphic&Creative solutions hypergraphgraphiccreativesolutions https://openreview.net/forum?id=J0zi7_8ZIv1 A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process | OpenReview Kernels on discrete structures evaluate pairwise similarities between objects which capture semantics and inherent topology information. Existing kernels on... based on https://arxiv.org/abs/2009.04510 [2009.04510] Optimizing hypergraph-based polynomials modeling job-occupancy in queueing with... Abstract page for arXiv paper 2009.04510: Optimizing hypergraph-based polynomials modeling job-occupancy in queueing with redundancy scheduling https://github.com/kahypar/KaHyPar.jl GitHub - kahypar/KaHyPar.jl: KaHyPar.jl is a Julia interface to the KaHyPar multilevel hypergraph... KaHyPar.jl is a Julia interface to the KaHyPar multilevel hypergraph partitioning package. - kahypar/KaHyPar.jl is ato thegithubjl https://openreview.net/forum?id=xqB7akZYvg&referrer=%5Bthe%20profile%20of%20Charles%20Xu%5D(%2Fprofile%3Fid%3D~Charles_Xu2) Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics |... In many data-driven applications, higher-order relationships among multiple objects are essential to capture complex interactions. Hypergraphs, which... hyperedgerepresentationshypergraphwaveletsapplications https://en.wikipedia.org/wiki/Hypergraph Hypergraph - Wikipedia hypergraphwikipedia https://easychair.org/publications/preprint/2b5Q Hypergraph-based Academic Paper Recommendation academic paperhypergraphbasedrecommendation https://seiberth.de/ Hypergraph Literacy hypergraphliteracy https://deepai.org/publication/generative-hypergraph-clustering-from-blockmodels-to-modularity Generative hypergraph clustering: from blockmodels to modularity | DeepAI Jan 24, 2021 - 01/24/21 - Hypergraphs are a natural modeling paradigm for a wide range of complex relational systems. A standard analysis task is to identif... generativehypergraphclusteringmodularitydeepai https://www.amazon.science/publications/search-behavior-prediction-a-hypergraph-perspective Search behavior prediction: A hypergraph perspective - Amazon Science At E-Commerce stores such as Amazon, eBay, and Taobao, the shopping items and the query words that customers use to search for the items form a bipartite graph... search behaviorpredictionhypergraphperspectiveamazon