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Deep Learning
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Architectures
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Graph Neural Networks
4,495 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
Sequential Graph Attention Learning for Predicting Dynamic Stock Trends (Student Abstract)
AAAI 2023
Can Graph Neural Networks Learn to Solve the MaxSAT Problem? (Student Abstract)
AAAI 2023
Flaky Performances When Pretraining on Relational Databases (Student Abstract)
AAAI 2023
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract)
AAAI 2023
Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract)
AAAI 2023
Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract)
AAAI 2023
Improving Dialogue Intent Classification with a Knowledge-Enhanced Multifactor Graph Model (Student Abstract)
AAAI 2023
Logic Error Localization and Correction with Machine Learning (Student Abstract)
AAAI 2023
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract)
AAAI 2023
HaPPy: Harnessing the Wisdom from Multi-Perspective Graphs for Protein-Ligand Binding Affinity Prediction (Student Abstract)
AAAI 2023
Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract)
AAAI 2023
Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract)
AAAI 2023
Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction
ACL 2023
TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning
ACL 2023
Peer-Label Assisted Hierarchical Text Classification
ACL 2023
Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation
ACL 2023
IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table Structures
ACL 2023
Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning
ACL 2023
Patton: Language Model Pretraining on Text-Rich Networks
ACL 2023
Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach
ACL 2023
DualGATs: Dual Graph Attention Networks for Emotion Recognition in Conversations
ACL 2023
Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks
ACL 2023
Dual Class Knowledge Propagation Network for Multi-label Few-shot Intent Detection
ACL 2023
Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering
ACL 2023
Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization
ACL 2023
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