Expander graph propagation

Expander graph propagation

Deploying graph neural networks (GNNs) on whole-graph classification or regression tasks is known to be challenging: it often requires computing node features that are mindful of both local interactions in their neighbourhood and the global context of the graph structure. GNN architectures that navi...

Descrizione completa

Dettagli Bibliografici
Autori principali:	Deac, A, Lackenby, M, Veličković, P
Natura:	Conference item
Lingua:	English
Pubblicazione:	Journal of Machine Learning Research 2022

Documenti analoghi

Expanders, rank and graphs of groups
di: Lackenby, M
Pubblicazione: (2004)

How does over-squashing affect the power of GNNs?
di: Di Giovanni, F, et al.
Pubblicazione: (2024)

Expander graphs
di: Kahale, Nabil
Pubblicazione: (2005)

Parameterized counting and Cayley graph expanders
di: Peyerimhoff, N, et al.
Pubblicazione: (2023)

Models for information propagation on graphs
di: Oliver R. A. Dunbar, et al.

Online Learning of Expanding Graphs
di: Samuel Rey, et al.
Pubblicazione: (2025-01-01)

Algorithms for #BIS-hard problems on expander graphs
di: Jenssen, M, et al.
Pubblicazione: (2019)

Parameterized (modular) counting and Cayley graph expanders
di: Peyerimhoff, N, et al.
Pubblicazione: (2021)

Hypergraph expanders from Cayley graphs
di: Conlon, D
Pubblicazione: (2019)

Light propagation in a weakly perturbed expanding universe
di: Seljak, Uros̆
Pubblicazione: (2007)

Expanding Horizons: Graph Theory’s Multifaceted Applications
di: Saxena Abhishek, et al.
Pubblicazione: (2024-01-01)

On the Construction of Sparse Matrices From Expander Graphs
di: Bubacarr Bah, et al.
Pubblicazione: (2018-09-01)

Giant components for two expanding graph processes
di: Devroye, L, et al.
Pubblicazione: (2002)

On the construction of sparse matrices from expander graphs
di: Bah, B, et al.
Pubblicazione: (2018)

Continuous Knowledge Graph Refinement With Confidence Propagation
di: Alisettar Huseynli, et al.
Pubblicazione: (2023-01-01)

Scaling Graph Propagation Kernels for Predictive Learning
di: Priyesh Vijayan, et al.
Pubblicazione: (2022-04-01)

A graph recommender model for knowledge graph propagation with collaborative factor
di: ZHU Xinjuan, et al.
Pubblicazione: (2022-04-01)

Process flexibility revisited : the graph expander and its applications
di: Chou, Mabel C., et al.
Pubblicazione: (2015)

Evolving graphs: Dynamical models, inverse problems and propagation
di: Grindrod, P, et al.
Pubblicazione: (2010)

Integral representation of the scalar propagators on the de Sitter expanding universe
di: Ion I. Cotăescu, et al.
Pubblicazione: (2019-08-01)

Revealing decurve flows for generalized graph propagation
di: Lin, C, et al.
Pubblicazione: (2024)

On the distribution alignment of propagation in graph neural networks
di: Qinkai Zheng, et al.
Pubblicazione: (2022-01-01)

Belief Propagation With Permutated Graphs of Polar Codes
di: Liping Li, et al.
Pubblicazione: (2020-01-01)

Hypergraph expanders of all uniformities from Cayley graphs
di: Conlon, David, et al.
Pubblicazione: (2021)

Bipartite Unique Neighbour Expanders via Ramanujan Graphs
di: Ron Asherov, et al.
Pubblicazione: (2024-04-01)

Label Propagation-Based Parallel Graph Partitioning for Large-Scale Graph Data
di: Minho Bae, et al.
Pubblicazione: (2020-01-01)

The Peculiarities of Acoustic Normal Waves Propagation in Thin Porous Sheets of Thermally Expanded Graphite
di: O. V. Muravieva, et al.
Pubblicazione: (2024-11-01)

The Propagation Characteristics of Turbulent Expanding Flames of Methane/Hydrogen Blending Gas
di: Haoran Zhao, et al.
Pubblicazione: (2024-11-01)

Approximate personalized propagation for unsupervised embedding in heterogeneous graphs
di: Chen, Yibi, et al.
Pubblicazione: (2022)

Domain-Invariant Label Propagation With Adaptive Graph Regularization
di: Yanning Zhang, et al.
Pubblicazione: (2024-01-01)

On the zero forcing number and propagation time of oriented graphs
di: Sakander Hayat, et al.
Pubblicazione: (2021-01-01)

Vanishingly Sparse Matrices and Expander Graphs, With Application to Compressed Sensing
di: Bah, B, et al.
Pubblicazione: (2013)

Expanded graph embedding for joint network alignment and link prediction
di: MHD Samy Alnaimy, et al.
Pubblicazione: (2022-04-01)

Belief Propagation and LP Relaxation for Weighted Matching in General Graphs
di: Sanghavi, S., et al.
Pubblicazione: (2013)

Integral representation of the Feynman propagators of the Dirac fermions on the de Sitter expanding universe
di: Ion I. Cotăescu
Pubblicazione: (2018-09-01)

Unsupervised Chunking Based on Graph Propagation from Bilingual Corpus
di: Ling Zhu, et al.
Pubblicazione: (2014-01-01)

Adaptive Propagation Graph Convolutional Networks Based on Attention Mechanism
di: Chenfang Zhang, et al.
Pubblicazione: (2022-09-01)

The Use of Attentive Knowledge Graph Perceptual Propagation for Improving Recommendations
di: Chenming Wang, et al.
Pubblicazione: (2023-04-01)

Simulating activation propagation in social networks using the graph theory
di: František Dařena, et al.
Pubblicazione: (2010-01-01)

Rumor Detection by Propagation Embedding Based on Graph Convolutional Network
di: Dang Thinh Vu, et al.
Pubblicazione: (2021-03-01)