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Graph Neural Networks with Parallel Neighborhood Aggregations for Graph
Classification

Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification

IEEE Transactions on Signal Processing (IEEE TSP), 2021

22 November 2021

ArXiv (abs)PDF HTML

Papers citing "Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification"

4 / 4 papers shown

Directed Acyclic Graph Convolutional Networks

Directed Acyclic Graph Convolutional Networks

180

2

0

13 Jun 2025

HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations

HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations

Martin Carrasco

Guillermo Bernardez

Lev Telyatnikov

349

1

0

21 May 2025

SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction

SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction

644

0

0

01 May 2025

Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information
Maximization Network

Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network

242

10

0

05 Feb 2023