node classification

All in a Row: Compressed Convolution Networks for Graphs ICML 2023 Alternately Optimized Graph Neural Networks ICML 2023 A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks NeurIPS 2023 A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models ACML 2023 A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks ICLR 2023 Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning NeurIPS 2023 Asymptotics of Network Embeddings Learned via Subsampling JMLR 2023 Attribute and Structure Preserving Graph Contrastive Learning AAAI 2023 Barlow Graph Auto-Encoder for Unsupervised Network Embedding AISTATS 2023 Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information EMNLP 2023 Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework AAAI 2023 Boosting Graph Neural Networks via Adaptive Knowledge Distillation 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 CAT-Walk: Inductive Hypergraph Learning via Set Walks NeurIPS 2023 Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond NeurIPS 2023 Characterizing the Influence of Graph Elements ICLR 2023 Confidence-Based Feature Imputation for Graphs with Partially Known Features ICLR 2023 Conformal Prediction Sets for Graph Neural Networks ICML 2023 Corpus Annotation Graph Builder (CAG): An Architectural Framework to Create and Annotate a Multi-source Graph EACL 2023 CSGCL: Community-Strength-Enhanced Graph Contrastive Learning IJCAI 2023 Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach ACL 2023 Deep Graph Reprogramming CVPR 2023 Deep Insights into Noisy Pseudo Labeling on Graph Data NeurIPS 2023 Degree-based stratification of nodes in Graph Neural Networks ACML 2023