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
'15
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Papers
Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings
ACML 2023
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks
IJCAI 2023
AutoGT: Automated Graph Transformer Architecture Search
ICLR 2023
Automated Data Augmentations for Graph Classification
ICLR 2023
Automatic Dialog Flow Extraction and Guidance
EACL 2023
Autoregressive Diffusion Model for Graph Generation
ICML 2023
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
ICLR 2023
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation
IJCAI 2023
Benchmarking Graph Neural Networks
JMLR 2023
Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis
NeurIPS 2023
Beyond Detection: A Defend-and-Summarize Strategy for Robust and Interpretable Rumor Analysis on Social Media
EMNLP 2023
Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework
AAAI 2023
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
ICML 2023
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
AAAI 2023
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing
NSDI 2023
Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders
EMNLP 2023
Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching
ICCV 2023
Boosting Graph Neural Networks via Adaptive Knowledge Distillation
AAAI 2023
Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs
ICLR 2023
Boundary Graph Neural Networks for 3D Simulations
AAAI 2023
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs
NeurIPS 2023
Calibration techniques for node classification using graph neural networks on medical image data
MIDL 2023
Can Graph Neural Networks Learn to Solve the MaxSAT Problem? (Student Abstract)
AAAI 2023
CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network Data
ICML 2023
CAT-Walk: Inductive Hypergraph Learning via Set Walks
NeurIPS 2023