graph neural network

TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs IJCAI 2025 Towards a Complete Logical Framework for GNN Expressiveness ICLR 2025 Towards Addressing Frontiers in Graph Generation AAAI 2025 Towards Bridging Generalization and Expressivity of Graph Neural Networks ICLR 2025 Towards characterizing the value of edge embeddings in Graph Neural Networks ICML 2025 Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks IJCAI 2025 Towards Continuous Reuse of Graph Models via Holistic Memory Diversification ICLR 2025 Towards Database-Free Text-to-SQL Evaluation: A Graph-Based Metric for Functional Correctness COLING 2025 Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning AAAI 2025 Towards Efficient Object Re-Identification with a Novel Cloud-Edge Collaborative Framework AAAI 2025 Towards Explainable Temporal Reasoning in Large Language Models: A Structure-Aware Generative Framework ACL 2025 Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming ICLR 2025 Towards Fair Graph Learning without Demographic Information AISTATS 2025 Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion AAAI 2025 Towards Multimodal Sentiment Analysis via Hierarchical Correlation Modeling with Semantic Distribution Constraints AAAI 2025 Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy AAAI 2025 Towards Recognizing Spatial-temporal Collaboration of EEG Phase Brain Networks for Emotion Understanding IJCAI 2025 Towards Scalable and Deep Graph Neural Networks via Noise Masking AAAI 2025 TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs AAAI 2025 Training One-Dimensional Graph Neural Networks is NP-Hard ICLR 2025 Transformers from Diffusion: A Unified Framework for Neural Message Passing JMLR 2025 Trucidator: Document-level Event Factuality Identification via Hallucination Enhancement and Cross-Document Inference COLING 2025 Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks AAAI 2025 Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees UAI 2025 UltraModel: A Modeling Paradigm for Industrial Objects IJCAI 2025