graph alignment - Robuta Search

https://openreview.net/forum?id=BOdW0jXxpWc&referrer=%5Bthe%20profile%20of%20Luca%20Ganassali%5D(%2Fprofile%3Fid%3D~Luca_Ganassali1) Correlation Detection in Trees for Planted Graph Alignment | OpenReview Motivated by alignment of correlated sparse random graphs, we study a hypothesis problem of deciding whether two random trees are correlated or not. Based on... in trees graph alignment correlation detection planted https://openreview.net/forum?id=0sFNllQDIb&referrer=%5Bthe%20profile%20of%20Weina%20Wang%5D(%2Fprofile%3Fid%3D~Weina_Wang1) Attributed Graph Alignment | OpenReview Motivated by various data science applications including de-anonymizing user identities in social networks, we consider the graph alignment problem, where the... attributed graph alignment openreview https://openreview.net/forum?id=CnKf9TyYtf2 Few-Shot In-Context Imitation Learning via Implicit Graph Alignment | OpenReview We learn how to align graph representations of objects and use it as a foundation of a few-shot in-context imitation learning framework. few shot in context imitation learning implicit graph https://openreview.net/forum?id=lpx9LZPVtZ&referrer=%5Bthe%20profile%20of%20Ying%20Jin%5D(%2Fprofile%3Fid%3D~Ying_Jin1) SPA: A Graph Spectral Alignment Perspective for Domain Adaptation | OpenReview Unsupervised domain adaptation (UDA) is a pivotal form in machine learning to extend the in-domain model to the distinctive target domains where the data... a graph domain adaptation spa spectral alignment https://openreview.net/forum?id=8ah4I43Psy&referrer=%5Bthe%20profile%20of%20Weina%20Wang%5D(%2Fprofile%3Fid%3D~Weina_Wang1) On the Feasible Region of Efficient Algorithms for Attributed Graph Alignment | OpenReview Graph alignment aims at finding the vertex correspondence between two correlated graphs, a task that frequently occurs in graph mining applications such as... on the feasible region https://www.amazon.science/publications/multilingual-knowledge-graph-completion-with-self-supervised-adaptive-graph-alignment Multilingual knowledge graph completion with self-supervised adaptive graph alignment - Amazon... Predicting missing facts in a knowledge graph (KG) is crucial as modern KGs are far from complete. Due to labor-intensive human labeling, this phenomenon... knowledge graph self supervised multilingual completion adaptive https://openreview.net/forum?id=ttnbM598vZ Pairwise Alignment Improves Graph Domain Adaptation | OpenReview Graph-based methods, pivotal for label inference over interconnected objects in many real-world applications, often encounter generalization challenges, if the... domain adaptation pairwise alignment improves graph https://aclanthology.org/2021.findings-acl.96/ OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding - ACL Anthology Yuejia Xiang, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Zhenxi Lin, Yefeng Zheng. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. 2021. knowledge graph embedding https://www.easychair.org/cfp/topic?tid=56306 All CFPs for "graph alignment" cfps graph alignment https://arxiv.org/abs/2006.08816v6 [2006.08816v6] Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment Abstract page for arXiv paper 2006.08816v6: Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment signed graph metric learning gershgorin disc 2006 https://arxiv.org/abs/2509.20401v1 [2509.20401v1] SGAligner++: Cross-Modal Language-Aided 3D Scene Graph Alignment Abstract page for arXiv paper 2509.20401v1: SGAligner++: Cross-Modal Language-Aided 3D Scene Graph Alignment 3d scene cross modal https://easychair.org/cfp/topic?tid=56306 All CFPs for "graph alignment" cfps graph alignment