graph structure

Learning Symbolic Models for Graph-structured Physical Mechanism ICLR 2023 Learning to Induce Causal Structure ICLR 2023 MeshDiffusion: Score-based Generative 3D Mesh Modeling ICLR 2023 Mind the Label Shift of Augmentation-Based Graph OOD Generalization CVPR 2023 Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data NeurIPS 2023 Non-Sequential Graph Script Induction via Multimedia Grounding ACL 2023 Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning EMNLP 2023 Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach AAAI 2023 Revisiting Robustness in Graph Machine Learning ICLR 2023 Robust Self-Supervised Multi-Instance Learning with Structure Awareness AAAI 2023 Social Relation Reasoning Based on Triangular Constraints AAAI 2023 TOD-Flow: Modeling the Structure of Task-Oriented Dialogues EMNLP 2023 Towards Label Position Bias in Graph Neural Networks NeurIPS 2023 An α-No-Regret Algorithm For Graphical Bilinear Bandits NeurIPS 2022 A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?" ICLR 2022 Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs NeurIPS 2022 Code Generation From Flowcharts with Texts: A Benchmark Dataset and An Approach EMNLP 2022 Differentiable DAG Sampling ICLR 2022 Discovering Interpretable Data-to-Sequence Generators AAAI 2022 Effective Graph Context Representation for Document-level Machine Translation IJCAI 2022 GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation EMNLP 2022 Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models NeurIPS 2022 Iterative Structural Inference of Directed Graphs NeurIPS 2022 Joint Language Semantic and Structure Embedding for Knowledge Graph Completion COLING 2022 Learning from Counterfactual Links for Link Prediction ICML 2022