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Song, Xiang

  1. DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
    2020/10/11 by Da Zheng, Chao Ma, Zheng, Da +15 · 13 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. Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
    2019/09/03 by Wang, Minjie, Zheng, Da, Ye, Zihao +12 · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction
    2023/02/24 by Shichang Zhang, Jiani Zhang, Zhang, Shichang +11 · 7 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #Machine Learning in Materials Science
  4. DGL-KE: Training Knowledge Graph Embeddings at Scale
    2020/04/18 by Da Zheng, Zheng, Da, Xiang Song +15 · 6 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)
  5. Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications
    2023/06/05 by Xie, Han, Zheng, Da, Ma, Jun +9 · 4 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs
    2021/12/31 by Zheng, Da, Song, Xiang, Yang, Chengru +2 · 3 citations
    #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
  7. DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training
    2023/07/14 by Hongkuan Zhou, Da Zheng, Zhou, Hongkuan +7 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Human Pose and Action Recognition #Machine Learning (cs.LG)
  8. Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models
    2024/08/20 by Wan, Cong, He, Yuhang, Song, Xiang +1 · 4 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  9. 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
  10. TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
    2023/09/25 by Jing Zhu, Xiang Song, Zhu, Jing +7 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Recommender Systems and Techniques #Social and Information Networks (cs.SI) #Topic Modeling
  11. TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs
    2022/03/28 by Hongkuan Zhou, Zhou, Hongkuan, Da Zheng +9 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Topic Modeling
  12. ColdGuess: A General and Effective Relational Graph Convolutional Network to Tackle Cold Start Cases
    2022/05/24 by Bo He, Xiang Song, He, Bo +5 · 1 citation
    Business, Management and Accounting · Computer Science · #Customer churn and segmentation #Sentiment Analysis and Opinion Mining #Big Data and Business Intelligence
  13. Parameter-Efficient Tuning Large Language Models for Graph Representation Learning
    2024/04/28 by Qi Zhu, Da Zheng, Zhu, Qi +11 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Semantic Web and Ontologies
  14. DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype
    2025/03/23 by Wang, Qiang, He, Yuhang, Dong, SongLin +4 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  15. Spectro-Riemannian Graph Neural Networks
    2025/02/01 by Karish Grover, Haiyang Yu, Grover, Karish +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