Co-occurring keywords · papers mentioning both
Papers
Composite Graphical Causal Models for Inference on Heterogeneous-Indexed Data
CLeaR 2026
Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets
AAAI 2026
Covered Forest: Fine-grained generalization analysis of graph neural networks
ICML 2025
Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs
JMLR 2024
Generalised f-Mean Aggregation for Graph Neural Networks
NeurIPS 2023
Some Might Say All You Need Is Sum
IJCAI 2023
A General Setting for Gradual Semantics Dealing with Similarity
AAAI 2021
Learning Aggregation Functions
IJCAI 2021
Design Space for Graph Neural Networks
NeurIPS 2020
Principal Neighbourhood Aggregation for Graph Nets
NeurIPS 2020
Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA
ACML 2019
Variational Consensus Monte Carlo
NeurIPS 2015