Graph Neural Networks
5,491 papers
Papers per year
3
1
1
3
7
4
3
2
13
23
66
348
550
686
703
817
962
904
395
'10
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Papers
Equivariant Hypergraph Diffusion Neural Operators
ICLR 2023
Equivariant Message Passing Neural Network for Crystal Material Discovery
AAAI 2023
Equivariant Polynomials for Graph Neural Networks
ICML 2023
Error Detection for Text-to-SQL Semantic Parsing
EMNLP 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
NeurIPS 2023
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
NeurIPS 2023
Evaluating Self-Supervised Learning for Molecular Graph Embeddings
NeurIPS 2023
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance
NeurIPS 2023
Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting
ACML 2023
Ewald-based Long-Range Message Passing for Molecular Graphs
ICML 2023
Expectation-Complete Graph Representations with Homomorphisms
ICML 2023
Exphormer: Sparse Transformers for Graphs
ICML 2023
Explaining Temporal Graph Models through an Explorer-Navigator Framework
ICLR 2023
Exploiting Emotion-Semantic Correlations for Empathetic Response Generation
EMNLP 2023
Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract)
AAAI 2023
Exploring Graph Pre-training for Aspect-based Sentiment Analysis
EMNLP 2023
Exploring the Impact of Back-End Network on Wav2vec 2.0 for Dialect Identification
Interspeech 2023
Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels
AAAI 2023
Expressive Sign Equivariant Networks for Spectral Geometric Learning
NeurIPS 2023
Expressivity-Preserving GNN Simulation
NeurIPS 2023
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman
NeurIPS 2023
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework
AAAI 2023
FAC: 3D Representation Learning via Foreground Aware Feature Contrast
CVPR 2023
Face Clustering via Graph Convolutional Networks with Confidence Edges
ICCV 2023
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes
NeurIPS 2023