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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
Learning Graph Representations with Embedding Propagation
NIPS 2017
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
NIPS 2017
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
CVPR 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
CVPR 2017
Neural Message Passing for Quantum Chemistry
ICML 2017
The More You Know: Using Knowledge Graphs for Image Classification
CVPR 2017
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
CVPR 2017
Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs
NIPS 2017
Neural Graphical Models over Strings for Principal Parts Morphological Paradigm Completion
EACL 2017
Interaction Networks for Learning about Objects, Relations and Physics
NIPS 2016
Discriminative Embeddings of Latent Variable Models for Structured Data
ICML 2016
GraB: Visual Saliency via Novel Graph Model and Background Priors
CVPR 2016
Diffusion-Convolutional Neural Networks
NIPS 2016
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
CVPR 2016
Learning shape correspondence with anisotropic convolutional neural networks
NIPS 2016
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images
NIPS 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
NIPS 2016
Novel Front-End Features Based on Neural Graph Embeddings for DNN-HMM and LSTM-CTC Acoustic Modeling
INTERSPEECH 2016
Learning Convolutional Neural Networks for Graphs
ICML 2016
GAKE: Graph Aware Knowledge Embedding
COLING 2016
Non-Linear Smoothed Transductive Network Embedding with Text Information
ACML 2016
Robust Visual Place Recognition With Graph Kernels
CVPR 2016
Integration of Single-view Graphs with Diffusion of Tensor Product Graphs for Multi-view Spectral Clustering
ACML 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints
NIPS 2015
Distributed Power-law Graph Computing: Theoretical and Empirical Analysis
NIPS 2014
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