graph neural network

Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem ICLR 2023 Diffusion Probabilistic Models for Structured Node Classification NeurIPS 2023 DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization NeurIPS 2023 DiGress: Discrete Denoising diffusion for graph generation ICLR 2023 Dink-Net: Neural Clustering on Large Graphs ICML 2023 Directional diffusion models for graph representation learning NeurIPS 2023 DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles ACL 2023 Distance-Based Propagation for Efficient Knowledge Graph Reasoning EMNLP 2023 Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power NeurIPS 2023 Distantly Supervised Document-Level Biomedical Relation Extraction with Neighborhood Knowledge Graphs ACL 2023 Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks ACML 2023 Distill n’ Explain: explaining graph neural networks using simple surrogates AISTATS 2023 Distribution Free Prediction Sets for Node Classification ICML 2023 DMNet: Delaunay Meshing Network for 3D Shape Representation ICCV 2023 Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization ACL 2023 Does Graph Distillation See Like Vision Dataset Counterpart? NeurIPS 2023 Does Invariant Graph Learning via Environment Augmentation Learn Invariance? NeurIPS 2023 Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks ICML 2023 Double-Branch Multi-Attention based Graph Neural Network for Knowledge Graph Completion ACL 2023 Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction IJCAI 2023 Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? IJCAI 2023 Do We Really Need Complicated Model Architectures For Temporal Networks? ICLR 2023 DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction EACL 2023 DRew: Dynamically Rewired Message Passing with Delay ICML 2023 DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks AAAI 2023