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Methodology
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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
Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning
CVPR 2019
Structural Relational Reasoning of Point Clouds
CVPR 2019
Biologically-Constrained Graphs for Global Connectomics Reconstruction
CVPR 2019
Diverse Generation for Multi-Agent Sports Games
CVPR 2019
Knowledge-Embedded Routing Network for Scene Graph Generation
CVPR 2019
Explainability Methods for Graph Convolutional Neural Networks
CVPR 2019
Event Prediction in Complex Social Graphs using One-Dimensional Convolutional Neural Network
IJCAI 2019
Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation
IJCAI 2019
Graph Convolutional Network Hashing for Cross-Modal Retrieval
IJCAI 2019
Relational Action Forecasting
CVPR 2019
Linkage Based Face Clustering via Graph Convolution Network
CVPR 2019
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
CVPR 2019
Reasoning Visual Dialogs With Structural and Partial Observations
CVPR 2019
Spatial-Aware Graph Relation Network for Large-Scale Object Detection
CVPR 2019
Learning Actor Relation Graphs for Group Activity Recognition
CVPR 2019
3D Hand Shape and Pose Estimation From a Single RGB Image
CVPR 2019
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
CVPR 2019
Context-Aware Visual Compatibility Prediction
CVPR 2019
Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding Model
IJCAI 2019
Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
IJCAI 2019
Generative Models for Graph-Based Protein Design
NIPS 2019
Diffusion Improves Graph Learning
NIPS 2019
Improving Textual Network Learning with Variational Homophilic Embeddings
NIPS 2019
Wasserstein Weisfeiler-Lehman Graph Kernels
NIPS 2019
Embedding Symbolic Knowledge into Deep Networks
NIPS 2019
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