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← Core Methods
Machine Learning
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Core Methods
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Graph Neural Networks
1127 directly classified papers
Papers per year
2006: 2
2008: 1
2009: 2
2010: 3
2011: 2
2012: 6
2013: 7
2014: 5
2015: 2
2016: 7
2017: 8
2018: 16
2019: 62
2020: 133
2021: 139
2022: 175
2023: 196
2024: 192
2025: 168
2026: 1
Papers
HGMP: Heterogeneous Graph Multi-Task Prompt Learning
IJCAI 2025
Demystifying the Power of Large Language Models in Graph Generation
NAACL 2025
Media of Langue: Exploring Word Translation Network
NAACL 2025
Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks
IJCAI 2025
Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
IJCAI 2025
Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes
IJCAI 2025
Explainable Graph Representation Learning via Graph Pattern Analysis
IJCAI 2025
Dynamic Graph Learning with Static Relations for Credit Risk Assessment
AAAI 2025
Verifying Quantized Graph Neural Networks is PSPACE-complete
IJCAI 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
IJCAI 2025
End-to-End HOI Reconstruction Transformer with Graph-based Encoding
CVPR 2025
GG-SSMs: Graph-Generating State Space Models
CVPR 2025
Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method
IJCAI 2025
Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck
AAAI 2025
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype
IJCAI 2025
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
AAAI 2025
Heterophily-Aware Personalized PageRank for Node Classification
IJCAI 2025
Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks
IJCAI 2025
Mitigating Over-Smoothing in Graph Neural Networks via Separation Coefficient-Guided Adaptive Graph Structure Adjustment
IJCAI 2025
Link Prediction for Flow-Driven Spatial Networks
WACV 2024
Improving Graph Networks Through Selection-Based Convolution
WACV 2024
PyGOD: A Python Library for Graph Outlier Detection
JMLR 2024
Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting
WACV 2024
Review-Enhanced Hierarchical Contrastive Learning for Recommendation
AAAI 2024
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets
AAAI 2024
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