Graph Neural Networks
1,211 papers
Papers per year
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Papers
Graph Switching Dynamical Systems
ICML 2023
GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM
AAAI 2023
HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level
ACL 2023
Half-Hop: A graph upsampling approach for slowing down message passing
ICML 2023
Hard Sample Aware Network for Contrastive Deep Graph Clustering
AAAI 2023
Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning
IJCAI 2023
Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis
AAAI 2023
High dimensional, tabular deep learning with an auxiliary knowledge graph
NeurIPS 2023
Identifying Conspiracy Theories News based on Event Relation Graph
EMNLP 2023
I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs
AAAI 2023
IMP: Iterative Matching and Pose Estimation With Adaptive Pooling
CVPR 2023
IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table Structures
ACL 2023
Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery
AAAI 2023
Intra-Event and Inter-Event Dependency-Aware Graph Network for Event Argument Extraction
EMNLP 2023
Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction
ACL 2023
Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy
NeurIPS 2023
Joint Learning Model for Low-Resource Agglutinative Language Morphological Tagging
ACL 2023
KAPALM: Knowledge grAPh enhAnced Language Models for Fake News Detection
EMNLP 2023
Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories
ACL 2023
Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding
AISTATS 2023
Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs
NeurIPS 2023
Learning Causal Effects on Hypergraphs (Extended Abstract)
IJCAI 2023
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
AAAI 2023
Learning Fair Graph Representations via Automated Data Augmentations
ICLR 2023
Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search
AAAI 2023