graph similarity

Covered Forest: Fine-grained generalization analysis of graph neural networks ICML 2025 Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusion IJCAI 2025 GraSP: Simple Yet Effective Graph Similarity Predictions AAAI 2025 Quality Measures for Dynamic Graph Generative Models ICLR 2025 Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation ICLR 2025 Soft Measures for Extracting Causal Collective Intelligence EMNLP 2024 Towards Neural Architecture Search through Hierarchical Generative Modeling ICML 2024 Evaluate AMR Graph Similarity via Self-supervised Learning ACL 2023 Efficient Graph Similarity Computation with Alignment Regularization NeurIPS 2022 Graph Filtration Kernels AAAI 2022 Explainable Unsupervised Argument Similarity Rating with Abstract Meaning Representation and Conclusion Generation EMNLP 2021 NASGEM: Neural Architecture Search via Graph Embedding Method AAAI 2021 Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation NeurIPS 2021 A graph similarity for deep learning NeurIPS 2020 Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching AAAI 2020 Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications ICML 2019 FSM: A Fast Similarity Measurement for Gene Regulatory Networks via Genes' Influence Power IJCAI 2019 A Degeneracy Framework for Graph Similarity IJCAI 2018 Halting in Random Walk Kernels NeurIPS 2015