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