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Methodology
← 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
Graph Ordering Attention Networks
AAAI 2023
Data Imputation with Iterative Graph Reconstruction
AAAI 2023
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning
AAAI 2023
Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection
IJCAI 2023
Social Relation Reasoning Based on Triangular Constraints
AAAI 2023
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design
ICML 2023
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests
ICML 2023
SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching
ICML 2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
ICML 2023
Self-Supervised Bidirectional Learning for Graph Matching
AAAI 2023
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
ICML 2023
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching
ICML 2023
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning
ICML 2023
Towards Understanding Generalization of Graph Neural Networks
ICML 2023
GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM
AAAI 2023
All in a Row: Compressed Convolution Networks for Graphs
ICML 2023
Towards Robust Graph Incremental Learning on Evolving Graphs
ICML 2023
RGE: A Repulsive Graph Rectification for Node Classification via Influence
ICML 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure
ICML 2023
A Provable Framework of Learning Graph Embeddings via Summarization
AAAI 2023
Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network
AAAI 2023
Equivariant Polynomials for Graph Neural Networks
ICML 2023
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
ICML 2023
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature
ICML 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks
ICML 2023
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