node classification

Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph AAAI 2021 SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network CVPR 2021 Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data NeurIPS 2021 Simple Spectral Graph Convolution ICLR 2021 Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach ICML 2021 TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract) IJCAI 2021 Temporal Heterogeneous Information Network Embedding IJCAI 2021 The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs IJCAI 2021 Topological Relational Learning on Graphs NeurIPS 2021 Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling AAAI 2021 Ultrahyperbolic Neural Networks NeurIPS 2021 VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization NeurIPS 2021 Active Learning in the Geometric Block Model AAAI 2020 Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation ICML 2020 Adversarial Attacks on Deep Graph Matching NeurIPS 2020 Adversarial Deep Network Embedding for Cross-Network Node Classification AAAI 2020 A graph similarity for deep learning NeurIPS 2020 ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations AAAI 2020 Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020 Bayesian Graph Neural Networks with Adaptive Connection Sampling ICML 2020 Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs NeurIPS 2020 Bilinear Graph Neural Network with Neighbor Interactions IJCAI 2020 Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning AAAI 2020 Composition-based Multi-Relational Graph Convolutional Networks ICLR 2020 Constant Curvature Graph Convolutional Networks ICML 2020