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Methodology
← Architectures
Deep Learning
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Graph Neural Networks
4495 directly classified papers
Papers per year
2006: 3
2009: 1
2010: 1
2011: 3
2012: 6
2013: 4
2014: 3
2015: 2
2016: 13
2017: 23
2018: 60
2019: 347
2020: 504
2021: 663
2022: 625
2023: 714
2024: 676
2025: 528
2026: 319
Papers
Data Imputation with Iterative Graph Reconstruction
AAAI 2023
Dynamic Heterogeneous Graph Attention Neural Architecture Search
AAAI 2023
Substructure Aware Graph Neural Networks
AAAI 2023
Random Walk Conformer: Learning Graph Representation from Long and Short Range
AAAI 2023
Simple and Efficient Heterogeneous Graph Neural Network
AAAI 2023
T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction
AAAI 2023
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis
AAAI 2023
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks
AAAI 2023
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework
AAAI 2023
USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network
AAAI 2023
Inferring Patient Zero on Temporal Networks via Graph Neural Networks
AAAI 2023
Boundary Graph Neural Networks for 3D Simulations
AAAI 2023
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network
AAAI 2023
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering
AAAI 2023
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks
AAAI 2023
Learning Topology-Specific Experts for Molecular Property Prediction
AAAI 2023
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction
ICML 2023
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds
ICML 2023
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence
WACV 2023
SONGs: Self-Organizing Neural Graphs
WACV 2023
GEMS: Scene Expansion Using Generative Models of Graphs
WACV 2023
DBGDGM: Dynamic Brain Graph Deep Generative Model
MIDL 2023
DBGSL: Dynamic Brain Graph Structure Learning
MIDL 2023
Calibration techniques for node classification using graph neural networks on medical image data
MIDL 2023
Spatial Correspondence between Graph Neural Network-Segmented Images
MIDL 2023
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