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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
AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries
AAAI 2025
Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering
IJCAI 2025
Structural Patent Classification Using Label Hierarchy Optimization
EMNLP 2025
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
AAAI 2025
DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification
IJCAI 2025
PAMol: Pocket-Aware Drug Design Method with Hypergraph Representation of Protein Pocket Structure and Feature Fusion
IJCAI 2025
PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment
IJCAI 2025
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning
AAAI 2025
Towards Scalable and Deep Graph Neural Networks via Noise Masking
AAAI 2025
The Graph’s Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation
IJCAI 2025
Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience
AAAI 2025
Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising
AAAI 2025
Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning
IJCAI 2025
Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution
IJCAI 2025
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy
AAAI 2025
Accurate Nucleic Acid-Binding Residue Identification Based Domain-Adaptive Protein Language Model and Explainable Geometric Deep Learning
AAAI 2025
HiTuner: Hierarchical Semantic Fusion Model Fine-Tuning on Text-Attributed Graphs
IJCAI 2025
Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks
AAAI 2025
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model
AAAI 2025
Causal Inference over Visual-Semantic-Aligned Graph for Image Classification
AAAI 2025
Critical Node-aware Augmentation for Hypergraph Contrastive Learning
IJCAI 2025
HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion
IJCAI 2025
FGeo-HyperGNet: Geometric Problem Solving Integrating FormalGeo Symbolic System and Hypergraph Neural Network
IJCAI 2025
Weighted Embeddings for Low-Dimensional Graph Representation
AAAI 2025
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning
AAAI 2025
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