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graph structure

216 papers

Papers

Revisiting Causal Discovery from a Complexity-Theoretic Perspective IJCAI 2024 Revisiting Score Propagation in Graph Out-of-Distribution Detection NeurIPS 2024 Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection IJCAI 2024 Semantically-correlated memories in a dense associative model ICML 2024 SpelsNet: Surface Primitive Elements Segmentation by B-Rep Graph Structure Supervision NeurIPS 2024 Structural Inference with Dynamics Encoding and Partial Correlation Coefficients ICLR 2024 Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text EMNLP 2024 Subgraph Pooling: Tackling Negative Transfer on Graphs IJCAI 2024 The Mystery of Compositional Generalization in Graph-based Generative Commonsense Reasoning EMNLP 2024 Topological Node2vec: Enhanced Graph Embedding via Persistent Homology JMLR 2024 Towards Continual Knowledge Graph Embedding via Incremental Distillation AAAI 2024 Verifying message-passing neural networks via topology-based bounds tightening ICML 2024 Attribute and Structure Preserving Graph Contrastive Learning AAAI 2023 Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering ICML 2023 Complex Event Schema Induction with Knowledge-Enriched Diffusion Model EMNLP 2023 Content- and Topology-Aware Representation Learning for Scientific Multi-Literature EMNLP 2023 Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First NeurIPS 2023 Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting ACL 2023 Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts NeurIPS 2023 Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective AAAI 2023 Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling NeurIPS 2023 Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure ICML 2023 Incorporating Graph Information in Transformer-based AMR Parsing ACL 2023 Inference for a Large Directed Acyclic Graph with Unspecified Interventions JMLR 2023 Learning Robust Graph Neural Networks with Limited Supervision AISTATS 2023