Results 41 to 50 of about 56,309 (276)
Generative hypergraph clustering: From blockmodels to modularity [PDF]
Novel clustering techniques enable the detection of modules in large datasets with multiway interactions. Hypergraphs are a natural modeling paradigm for networked systems with multiway interactions.
Philip S. Chodrow+2 more
semanticscholar +1 more source
Spatial data processing often requires massive datasets, and the task/data scheduling efficiency of these applications has an impact on the overall processing performance.
Bo Cheng, Xuefeng Guan, Huayi Wu, Rui Li
doaj +1 more source
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation
Session-based recommendation (SBR) aims at the next-item prediction with a short behavior session. Existing solutions fail to address two main challenges: 1) user interests are shown as dynamically coupled intents, and 2) sessions always contain noisy ...
Yinfeng Li+4 more
semanticscholar +1 more source
Individual Differences in Dynamic Functional Brain Connectivity across the Human Lifespan. [PDF]
Individual differences in brain functional networks may be related to complex personal identifiers, including health, age, and ability. Dynamic network theory has been used to identify properties of dynamic brain function from fMRI data, but the majority
Elizabeth N Davison+6 more
doaj +1 more source
Session-based Recommendation with Hypergraph Attention Networks [PDF]
Session-based recommender systems aim to improve recommendations in short-term sessions that can be found across many platforms. A critical challenge is to accurately model user intent with only limited evidence in these short sessions. For example, is a
Jianling Wang+3 more
semanticscholar +1 more source
Hypergraph Contextuality [PDF]
Quantum contextuality is a source of quantum computational power and a theoretical delimiter between classical and quantum structures. It has been substantiated by numerous experiments and prompted generation of state independent contextual sets, that is, sets of quantum observables capable of revealing quantum contextuality for any quantum state of a ...
openaire +4 more sources
Abstract Most real-world networks are endowed with the small-world property, by means of which the maximal distance between any two of their nodes scales logarithmically rather than linearly with their size. The evidence sparkled a wealth of studies trying to reveal possible mechanisms through which the pairwise interactions amongst the ...
Raghav, Tanu+2 more
openaire +4 more sources
Controllability of Hypergraphs [PDF]
In this paper, we develop a notion of controllability for hypergraphs via tensor algebra and polynomial control theory. Inspired by uniform hypergraphs, we propose a new tensor-based multilinear dynamical system representation, and derive a Kalman-rank-like condition to determine the minimum number of control nodes (MCN) needed to achieve ...
Can Chen+3 more
openaire +3 more sources
Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks
Metro passenger flow prediction is a strategically necessary demand in an intelligent transportation system to alleviate traffic pressure, coordinate operation schedules, and plan future constructions. Graph-based neural networks have been widely used in
Jingcheng Wang+5 more
semanticscholar +1 more source
A support of a hypergraph H is a graph with the same vertex set as H in which each hyperedge induces a connected subgraph. We show how to test in polynomial time whether a given hypergraph has a cactus support, i.e. a support that is a tree of edges and cycles.
Brandes, Ulrik+3 more
openaire +3 more sources