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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
RGAT at SemEval-2023 Task 2: Named Entity Recognition Using Graph Attention Network
ACL 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
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
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN
ACL 2023
Violin: Virtual Overbridge Linking for Enhancing Semi-supervised Learning on Graphs with Limited Labels
IJCAI 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
Graph Neural Convection-Diffusion with Heterophily
IJCAI 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
Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction
ACL 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
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