Graph Neural Networks

Graph Contrastive Backdoor Attacks ICML 2023 Graph Contrastive Learning for Skeleton-based Action Recognition ICLR 2023 Graph Contrastive Learning with Group Whitening ACML 2023 Graph Contrastive Learning with Stable and Scalable Spectral Encoding NeurIPS 2023 Graph Domain Adaptation via Theory-Grounded Spectral Regularization ICLR 2023 Graph Generative Model for Benchmarking Graph Neural Networks ICML 2023 Graph Inductive Biases in Transformers without Message Passing ICML 2023 Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition AAAI 2023 Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication ICML 2023 Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling NeurIPS 2023 Graph Mixup with Soft Alignments ICML 2023 Graph Neural Convection-Diffusion with Heterophily IJCAI 2023 Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning ICLR 2023 Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs ICLR 2023 Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure ICML 2023 Graph Neural Networks for Link Prediction with Subgraph Sketching ICLR 2023 Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis NeurIPS 2023 Graph Neural Networks with Learnable and Optimal Polynomial Bases ICML 2023 Graph Neural Tangent Kernel: Convergence on Large Graphs ICML 2023 Graph of Circuits with GNN for Exploring the Optimal Design Space NeurIPS 2023 Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract) AAAI 2023 Graph Ordering Attention Networks AAAI 2023 GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation NeurIPS 2023 Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities IJCAI 2023 Graph Positional Encoding via Random Feature Propagation ICML 2023