Architectures

Graph-based Relation Mining for Context-free Out-of-vocabulary Word Embedding Learning ACL 2023 GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks ICML 2023 Graph Clustering with Graph Neural Networks JMLR 2023 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 Graphics Capsule: Learning Hierarchical 3D Face Representations From 2D Images CVPR 2023 Graph Inductive Biases in Transformers without Message Passing ICML 2023 Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing AAAI 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