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Xiang Song

  1. DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
    2020/10/11 by Da Zheng, Chao Ma, Zheng, Da +15 · 8 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Distributed #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  2. PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction
    2023/02/24 by Shichang Zhang, Zhang, Shichang, Jiani Zhang +11 · 7 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #Machine Learning in Materials Science
  3. DGL-KE: Training Knowledge Graph Embeddings at Scale
    2020/04/18 by Da Zheng, Xiang Song, Zheng, Da +15 · 5 citations
    Computer Science · #Advanced Graph Neural Networks #Distributed #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Parallel #Topic Modeling #and Cluster Computing (cs.DC)
  4. On the Initialization of Graph Neural Networks
    2023/12/05 by Jiahang Li, Li, Jiahang, Yakun Song +5 · 2 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning in Materials Science
  5. KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion
    2024/04/05 by Tengfei Ma, Xiang Song, Ma, Tengfei +15 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Semantic Web and Ontologies
  6. TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs
    2022/03/28 by Hongkuan Zhou, Da Zheng, Zhou, Hongkuan +9 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Topic Modeling
  7. ColdGuess: A General and Effective Relational Graph Convolutional Network to Tackle Cold Start Cases
    2022/05/24 by Bo He, He, Bo, Xiang Song +5 · 1 citation
    Business, Management and Accounting · Computer Science · #Customer churn and segmentation #Sentiment Analysis and Opinion Mining #Big Data and Business Intelligence
  8. Parameter-Efficient Tuning Large Language Models for Graph Representation Learning
    2024/04/28 by Qi Zhu, Zhu, Qi, Da Zheng +11 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Semantic Web and Ontologies
  9. Sangerbox: A comprehensive, interaction‐friendly clinical bioinformatics analysis platform
    2022/07/08 by Weitao Shen, Ziguang Song, Xiao Yan Zhong +9 · 1 citation
    Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #Gene expression and cancer classification #Metabolomics and Mass Spectrometry Studies
  10. AutoG: Towards automatic graph construction from tabular data
    2025/01/25 by Zhikai Chen, Chen, Zhikai, Han Xie +11 · 1 citation
    Computer Science · #Semantic Web and Ontologies #Data Mining Algorithms and Applications #Natural Language Processing Techniques
  11. Spectro-Riemannian Graph Neural Networks
    2025/02/01 by Karish Grover, Grover, Karish, Haiyang Yu +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  12. OwlPath: Lossless Knowledge Compression for LLM Bug Repair
    2026/07/28 by Bo Zhang, Ren Pan, Huan Chen +1
    Computer Science · #cs.SE
  13. Toward an Organizational Science of Multi-Agent LLM Systems: Decoupling Who, How, and Which Algorithm
    2026/07/28 by Huan Chen, Xiang Song, Jian Jin +2
    #cs.AI #cs.LG