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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
Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks
AAAI 2024
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification
AAAI 2024
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning
AAAI 2024
Rethinking Propagation for Unsupervised Graph Domain Adaptation
AAAI 2024
ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction
AAAI 2024
ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network
AAAI 2024
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
AAAI 2024
NodeMixup: Tackling Under-Reaching for Graph Neural Networks
AAAI 2024
Decoupled Contrastive Multi-View Clustering with High-Order Random Walks
AAAI 2024
Towards Fair Graph Federated Learning via Incentive Mechanisms
AAAI 2024
A Graph Dynamics Prior for Relational Inference
AAAI 2024
HAGO-Net: Hierarchical Geometric Message Passing for Molecular Representation Learning
AAAI 2024
Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic
AAAI 2024
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
AAAI 2024
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering
AAAI 2024
Structural Information Enhanced Graph Representation for Link Prediction
AAAI 2024
SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes
AAAI 2024
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
AAAI 2024
Attribute-Missing Graph Clustering Network
AAAI 2024
Federated Graph Learning under Domain Shift with Generalizable Prototypes
AAAI 2024
DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems
AAAI 2024
SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering
AAAI 2024
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
AAAI 2024
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
AAAI 2024
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
AAAI 2024
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