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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
VTCC-NLP at SemEval-2023 Task 6:Long-Text Representation Based on Graph Neural Network for Rhetorical Roles Prediction
ACL 2023
Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction
ACL 2023
End-to-End Argument Mining over Varying Rhetorical Structures
ACL 2023
Target-Oriented Relation Alignment for Cross-Lingual Stance Detection
ACL 2023
HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level
ACL 2023
Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction
ACL 2023
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles
ACL 2023
Detecting Anomalous Networks of Opioid Prescribers and Dispensers in Prescription Drug Data
AAAI 2023
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network
AAAI 2023
Double-Branch Multi-Attention based Graph Neural Network for Knowledge Graph Completion
ACL 2023
Graph Component Contrastive Learning for Concept Relatedness Estimation
AAAI 2023
Towards Complex Scenarios: Building End-to-End Task-Oriented Dialogue System across Multiple Knowledge Bases
AAAI 2023
Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing
AAAI 2023
Nested Named Entity Recognition as Building Local Hypergraphs
AAAI 2023
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction
AAAI 2023
Relevant Walk Search for Explaining Graph Neural Networks
ICML 2023
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment
ACL 2023
Learning to Leverage High-Order Medical Knowledge Graph for Joint Entity and Relation Extraction
ACL 2023
Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery
AAAI 2023
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
AAAI 2023
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks
AAAI 2023
A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension
AAAI 2023
IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table Structures
ACL 2023
Neighbor Contrastive Learning on Learnable Graph Augmentation
AAAI 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels
AAAI 2023
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