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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
Learn and Sample Together: Collaborative Generation for Graphic Design Layout
IJCAI 2023
Stability and Generalization of lp-Regularized Stochastic Learning for GCN
IJCAI 2023
Graph Neural Convection-Diffusion with Heterophily
IJCAI 2023
Multi-level Graph Contrastive Prototypical Clustering
IJCAI 2023
LGI-GT: Graph Transformers with Local and Global Operators Interleaving
IJCAI 2023
Violin: Virtual Overbridge Linking for Enhancing Semi-supervised Learning on Graphs with Limited Labels
IJCAI 2023
Some Might Say All You Need Is Sum
IJCAI 2023
Multi-View Robust Graph Representation Learning for Graph Classification
IJCAI 2023
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning
IJCAI 2023
High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition
CVPR 2023
Self-Attention Message Passing for Contrastive Few-Shot Learning
WACV 2023
More Knowledge, Less Bias: Unbiasing Scene Graph Generation With Explicit Ontological Adjustment
WACV 2023
Learning Graph Variational Autoencoders With Constraints and Structured Priors for Conditional Indoor 3D Scene Generation
WACV 2023
MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms
OSDI 2023
Self-Distillation for Unsupervised 3D Domain Adaptation
WACV 2023
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs
IJCAI 2023
Learning Situation Hyper-Graphs for Video Question Answering
CVPR 2023
Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation
CVPR 2023
Graph Attention Retrospective
JMLR 2023
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks
IJCAI 2023
Spectral Augmentations for Graph Contrastive Learning
AISTATS 2023
Globally Consistent Federated Graph Autoencoder for Non-IID Graphs
IJCAI 2023
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing
NSDI 2023
Geometry Matching for Multi-Embodiment Grasping
CORL 2023
Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-agent Control
CORL 2023
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