Imagen de Portada

GRAIL: Graph Edit Distance and Node Alignment Using LLM-Generated Code

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Verma, Samidha, Goyal, Arushi, Mathur, Ananya, Anand, Ankit, Ranu, Sayan
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

EUGENE: Explainable Structure-aware Graph Edit Distance Estimation with Generalized Edit Costs
por: Bommakanti, Aditya, et al.
Publicado: (2024)

GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
por: Kosan, Mert, et al.
Publicado: (2023)

Bonsai: Gradient-free Graph Condensation for Node Classification
por: Gupta, Mridul, et al.
Publicado: (2024)

Mirage: Model-Agnostic Graph Distillation for Graph Classification
por: Gupta, Mridul, et al.
Publicado: (2023)

GNNMerge: Merging of GNN Models Without Accessing Training Data
por: Garg, Vipul, et al.
Publicado: (2025)

GRAIL: Goal Recognition Alignment through Imitation Learning
por: Elhadad, Osher, et al.
Publicado: (2026)

NeuroCUT: A Neural Approach for Robust Graph Partitioning
por: Shah, Rishi, et al.
Publicado: (2023)

Position: Graph Condensation Needs a Reset -- Move Beyond Full-dataset Training and Model-Dependence
por: Gupta, Mridul, et al.
Publicado: (2026)

Graph Edit Distance with General Costs Using Neural Set Divergence
por: Jain, Eeshaan, et al.
Publicado: (2024)

LightTopoGAT: Enhancing Graph Attention Networks with Topological Features for Efficient Graph Classification
por: Sharma, Ankit, et al.
Publicado: (2025)

Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems
por: Bishnoi, Suresh, et al.
Publicado: (2022)

GEDAN: Learning the Edit Costs for Graph Edit Distance
por: Leonardi, Francesco, et al.
Publicado: (2025)

GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networks
por: Sirohi, Anuj Kumar, et al.
Publicado: (2024)

Predicting VBAC Outcomes from U.S. Natality Data using Deep and Classical Machine Learning Models
por: Anand, Ananya
Publicado: (2025)

GRAIL: Post-hoc Compensation by Linear Reconstruction for Compressed Networks
por: Tang, Wenwu, et al.
Publicado: (2026)

DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching
por: Huang, Wei, et al.
Publicado: (2025)

Let the Code LLM Edit Itself When You Edit the Code
por: He, Zhenyu, et al.
Publicado: (2024)

Computing Approximate Graph Edit Distance via Optimal Transport
por: Cheng, Qihao, et al.
Publicado: (2024)

GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning
por: Shindo, Hikaru, et al.
Publicado: (2026)

Edit Distance Robust Watermarks via Indexing Pseudorandom Codes
por: Golowich, Noah, et al.
Publicado: (2024)

GnnXemplar: Exemplars to Explanations -- Natural Language Rules for Global GNN Interpretability
por: Armgaan, Burouj, et al.
Publicado: (2025)

A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs
por: Azad, Amitoz, et al.
Publicado: (2024)

Graph Edit Distance Formulation for the Vehicle Routing Problem: Theory and Analysis
por: Dabah, Adel
Publicado: (2026)

Revealing Interpretable Failure Modes of VLMs
por: Chaudhary, Isha, et al.
Publicado: (2026)

Landmark-Based Node Representations for Shortest Path Distance Approximations in Random Graphs
por: Le, My, et al.
Publicado: (2025)

Graph Similarity Computation via Interpretable Neural Node Alignment
por: Wang, Jingjing, et al.
Publicado: (2024)

Reliability Auditing for Downstream LLM tasks in Psychiatry: LLM-Generated Hospitalization Risk Scores
por: Panda, Shevya, et al.
Publicado: (2026)

Panorama: Fast-Track Nearest Neighbors
por: Ramani, Vansh, et al.
Publicado: (2025)

Is One Token All It Takes? Graph Pooling Tokens for LLM-based GraphQA
por: Grover, Ankit, et al.
Publicado: (2026)

Code as Reward: Empowering Reinforcement Learning with VLMs
por: Venuto, David, et al.
Publicado: (2024)

TAGMol: Target-Aware Gradient-guided Molecule Generation
por: Dorna, Vineeth, et al.
Publicado: (2024)

GRAIL: A Benchmark for GRaph ActIve Learning in Dynamic Sensing Environments
por: Khalid, Maryam, et al.
Publicado: (2025)

BladeSDF : Unconditional and Conditional Generative Modeling of Representative Blade Geometries Using Signed Distance Functions
por: Nair, Ashish S., et al.
Publicado: (2026)

Generalized Tree Edit Distance (GTED): A Faithful Evaluation Metric for Statement Autoformalization
por: Liu, Yuntian, et al.
Publicado: (2025)

Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
por: Huang, Wei, et al.
Publicado: (2025)

Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs
por: Cui, Hang, et al.
Publicado: (2024)

Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy
por: Kumarappan, Adarsh, et al.
Publicado: (2026)

Robust Learning of Diverse Code Edits
por: Aggarwal, Tushar, et al.
Publicado: (2025)

NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing
por: Li, Wei, et al.
Publicado: (2025)

Designing ReLU Generative Networks to Enumerate Trees with a Given Tree Edit Distance
por: Ghafoor, Mamoona, et al.
Publicado: (2025)