Graph Neural Networks

FAENet: Frame Averaging Equivariant GNN for Materials Modeling ICML 2023 Fair Attribute Completion on Graph with Missing Attributes ICLR 2023 Fair Graph Distillation NeurIPS 2023 Fast Online Node Labeling for Very Large Graphs ICML 2023 Feature Expansion for Graph Neural Networks ICML 2023 Federated Learning on Non-IID Graphs via Structural Knowledge Sharing AAAI 2023 FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks IJCAI 2023 FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations NeurIPS 2023 Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks EACL 2023 Fine-grained Expressivity of Graph Neural Networks NeurIPS 2023 Fisher Information Embedding for Node and Graph Learning ICML 2023 Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation JMLR 2023 FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs CVPR 2023 Flaky Performances When Pretraining on Relational Databases (Student Abstract) AAAI 2023 Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management IJCAI 2023 For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network AAAI 2023 FoSR: First-order spectral rewiring for addressing oversquashing in GNNs ICLR 2023 Fragment-based Pretraining and Finetuning on Molecular Graphs NeurIPS 2023 From Hypergraph Energy Functions to Hypergraph Neural Networks ICML 2023 From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm CVPR 2023 From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks ICML 2023 FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning AAAI 2023 Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration NeurIPS 2023 FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning ICML 2023 GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection NeurIPS 2023