Co-occurring keywords · papers mentioning both
Papers
DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging
AAAI 2026
LabelKAN - Kolmogorov-Arnold Networks for Inter-Label Learning: Avian Community Learning
AAAI 2026
Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs
COLING 2025
Improving Graph Contrastive Learning with Community Structure
UAI 2025
Semantically-correlated memories in a dense associative model
ICML 2024
Why the Metric Backbone Preserves Community Structure
NeurIPS 2024
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation
ICML 2023
Scalable Fair Influence Maximization
NeurIPS 2023
Subsampling in Large Graphs Using Ricci Curvature
ICLR 2023
Inference for Network Regression Models with Community Structure
ICML 2021
Semantic shift in social networks
ACL 2021
Change Point Estimation in a Dynamic Stochastic Block Model
JMLR 2020
Learning Dynamic Context Graph Embedding
ACML 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
NeurIPS 2020
Crawling the Community Structure of Multiplex Networks
AAAI 2019
Evolving Solutions to Community-Structured Satisfiability Formulas
AAAI 2019
Predicting the Role of Political Trolls in Social Media
CoNLL 2019
REM: From Structural Entropy to Community Structure Deception
NeurIPS 2019
Dynamic Network Model from Partial Observations
NeurIPS 2018
Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data
NeurIPS 2018
On the Satisfiability Threshold of Random Community-Structured SAT
IJCAI 2018
The Importance of Communities for Learning to Influence
NeurIPS 2017
Scalable Inference of Overlapping Communities
NeurIPS 2012