node classification

Gradient Gating for Deep Multi-Rate Learning on Graphs ICLR 2023 Graph Attention Retrospective JMLR 2023 GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks ICML 2023 Graph Contrastive Learning with Group Whitening ACML 2023 Graph Contrastive Learning with Stable and Scalable Spectral Encoding NeurIPS 2023 Graph Convolutional Kernel Machine versus Graph Convolutional Networks NeurIPS 2023 Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling NeurIPS 2023 Graph Neural Convection-Diffusion with Heterophily IJCAI 2023 Graph Ordering Attention Networks AAAI 2023 GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation NeurIPS 2023 Graph Positional Encoding via Random Feature Propagation ICML 2023 Graph Propagation Transformer for Graph Representation Learning IJCAI 2023 Graph Self-supervised Learning via Proximity Distribution Minimization UAI 2023 GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification AAAI 2023 Graph Transformer GANs for Graph-Constrained House Generation CVPR 2023 GSLB: The Graph Structure Learning Benchmark NeurIPS 2023 Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning IJCAI 2023 Holistic Prediction on a Time-Evolving Attributed Graph ACL 2023 Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach NeurIPS 2023 Imbalanced Node Classification Beyond Homophilic Assumption IJCAI 2023 ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification AAAI 2023 I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs AAAI 2023 Improving Graph Neural Networks with Learnable Propagation Operators ICML 2023 JobXMLC: EXtreme Multi-Label Classification of Job Skills with Graph Neural Networks EACL 2023 KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification IJCAI 2023