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Researcher profile

Xiang Zhao

6 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Towards Entity Alignment in the Open World: An Unsupervised Approach

    2021 · arXiv (Cornell University)

    Entity alignment (EA) aims to discover the equivalent entities in different knowledge graphs (KGs). It is a pivotal step for integrating KGs to increase knowledge coverage and quality. Recent years have witnessed a rapid increase …

  2. Active Temporal Knowledge Graph Alignment

    2023 · International Journal on Semantic Web and Information Systems

    Entity alignment aims to identify equivalent entity pairs from different knowledge graphs (KGs). Recently, aligning temporal knowledge graphs (TKGs) that contain time information has aroused increasingly more interest, as the time dimension is widely used …

  3. The Expressive Power of Graph Neural Networks: A Survey

    2023 · arXiv (Cornell University)

    Graph neural networks (GNNs) are effective machine learning models for many graph-related applications. Despite their empirical success, many research efforts focus on the theoretical limitations of GNNs, i.e., the GNNs expressive power. Early works in …

  4. Metallogenic prediction based on fractal theory and machine learning in Duobaoshan Area, Heilongjiang Province

    2024 · Ore Geology Reviews

    The extraction and integrated analysis of multi-source geological data are key steps in the prediction of mineralization. Current studies are focusing on the extraction and integration of the deep-level mineralization information. In the era of …

  5. LearnSC: An Efficient and Unified Learning-Based Framework for Subgraph Counting Problem

    2024

    Graphs are valuable data structures used to represent complex relationships between entities in a wide range of applications, such as social networks and chemical reactions. Subgraph counting problem is a well-known hard problem, as its …

  6. Towards Privacy-Preserving Personalized Federated Relation Classification

    2025 · IEEE Transactions on Big Data

    Relation classification plays a crucial role in detecting semantic relations between annotated entities within text data, serving as a fundamental tool for knowledge structurization. In recent years, federated learning has emerged as a promising approach …