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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
ORID: Organ-Regional Information Driven Framework for Radiology Report Generation
WACV 2025
All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning
IJCAI 2025
HGEN: Heterogeneous Graph Ensemble Networks
IJCAI 2025
Inferring Past Human Actions in Homes with Abductive Reasoning
WACV 2025
Exploiting Inter-Sample Information for Long-Tailed Out-of-Distribution Detection
WACV 2025
What Can We Learn From MIMO Graph Convolutions?
IJCAI 2025
SALE-MLP: Structure Aware Latent Embeddings for GNN to Graph-free MLP Distillation
IJCAI 2025
WiGNet: Windowed Vision Graph Neural Network
WACV 2025
Mitigating Over-Smoothing in Graph Neural Networks via Separation Coefficient-Guided Adaptive Graph Structure Adjustment
IJCAI 2025
Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors
IJCAI 2025
Learning Semantic Part-Based Graph Structure for 3D Point Cloud Domain Generalization
WACV 2025
Adversarial Learning Based Knowledge Distillation on 3D Point Clouds
WACV 2025
Uncertainty-guided Graph Contrastive Learning from a Unified Perspective
IJCAI 2025
Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels
IJCAI 2025
High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces
JMLR 2025
Going Beyond Consistency: Target-oriented Multi-view Graph Neural Network
IJCAI 2025
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data
IJCAI 2025
Transformers from Diffusion: A Unified Framework for Neural Message Passing
JMLR 2025
GraphNeuralNetworks.jl: Deep Learning on Graphs with Julia
JMLR 2025
Few-Shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural Networks
WACV 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
IJCAI 2025
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps
IJCAI 2025
TeG-DRec: Inductive Text-Graph Learning for Unseen Node Scientific Dataset Recommendation
IJCNLP 2025
Verifying Quantized Graph Neural Networks is PSPACE-complete
IJCAI 2025
Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs
IJCAI 2025
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