Xiang Song

Most-cited papers

Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks.
Minjie Wang, Da Zheng, Zihao Ye, Quan Gan +11 more
20191,404 citations
Semantic Scholar
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou +5 more
2020Workshop on Irregular Applications: Architectures and Algorithms347 citations Open access
Semantic Scholar
Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning
Xiangxiang Zeng, Xiang Song, Tengfei Ma, Xiaoqing Pan +6 more
2020Journal of Proteome Research228 citations Open access
Semantic Scholar
DGL-KE: Training Knowledge Graph Embeddings at Scale
Da Zheng, Xiang Song, Chao Ma, Ze-Yuan Tan +5 more
2020Annual International ACM SIGIR Conference on Research and Development in Information Retrieval225 citations
Semantic Scholar
TGL: A General Framework for Temporal GNN Training onBillion-Scale Graphs
Hongkuan Zhou, Da Zheng, Israt Nisa, Vassilis N. Ioannidis +2 more
2022Proceedings of the VLDB Endowment132 citations
Semantic Scholar
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs
Da Zheng, Xiang Song, Chengrun Yang, Dominique LaSalle +1 more
2021Knowledge Discovery and Data Mining95 citations Open access
Semantic Scholar
COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature
Colby Wise, Miguel Romero Calvo, Pariminder Bhatia, Vassilis N. Ioannidis +5 more
2020KNLP73 citations Open access
Semantic Scholar
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research
Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma +2 more
2023Knowledge Discovery and Data Mining71 citations Open access
Semantic Scholar
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction
Shichang Zhang, Jia-Ni Zhang, Xiang Song, Soji Adeshina +3 more
2023The Web Conference68 citations Open access
Semantic Scholar
DSP: Efficient GNN Training with Multiple GPUs
Zhenkun Cai, Qi-Hui Zhou, Xiao Yan, Da Zheng +4 more
2023ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming55 citations Open access
Semantic Scholar
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications
Han Xie, Da Zheng, Jun Ma, Houyu Zhang +8 more
2023Knowledge Discovery and Data Mining50 citations Open access
Semantic Scholar
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training
Hongkuan Zhou, Da Zheng, Xiang Song, G. Karypis +1 more
2023International Conference for High Performance Computing, Networking, Storage and Analysis31 citations Open access
Semantic Scholar
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs
Da Zheng, Xiang Song, Chengrun Yang, Dominique LaSalle +4 more
2021arXiv.org31 citations
Semantic Scholar
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices
Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Sheng Qian +3 more
2023Web Search and Data Mining25 citations Open access
Semantic Scholar
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra +1 more
2023Annual International ACM SIGIR Conference on Research and Development in Information Retrieval24 citations Open access
Semantic Scholar
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training
Kezhao Huang, Haitian Jiang, Minjie Wang, Guang-Xuan Xiao +6 more
2023Proceedings of the VLDB Endowment22 citations Open access
Semantic Scholar
Graph Neural Network Training and Data Tiering
S. Min, Kun Wu, Mert Hidayetoğlu, Jin-Jun Xiong +2 more
2021Knowledge Discovery and Data Mining21 citations
Semantic Scholar
Scalable Graph Neural Networks with Deep Graph Library
Da Zheng, Minjie Wang, Quan Gan, Xiang Song +2 more
2021Web Search and Data Mining15 citations
Semantic Scholar
Network In Graph Neural Network
Xiang Song, Runjie Ma, Jiahang Li, Muhan Zhang +1 more
2021arXiv.org15 citations
Semantic Scholar
On the Initialization of Graph Neural Networks
Jiahang Li, Ya-Zhi Song, Xiang Song, D. Wipf
2023International Conference on Machine Learning12 citations
Semantic Scholar
Efficient and effective training of language and graph neural network models
Vassilis N. Ioannidis, Xiang Song, Da Zheng, Houyu Zhang +5 more
2022arXiv.org12 citations Open access
Semantic Scholar
Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures
Kun Wu, Mert Hidayetoğlu, Xiang Song, Sitao Huang +3 more
2023International Conference on Architectural Support for Programming Languages and Operating Systems8 citations Open access
Semantic Scholar
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning
Qi Zhu, Da Zheng, Xiang Song, Shichang Zhang +3 more
2024arXiv.org3 citations
Semantic Scholar
GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes
Jian Zhang, Da Zheng, Xiang Song, Theodore Vasiloudis +2 more
2023Knowledge Discovery and Data Mining3 citations Open access
Semantic Scholar
Refined Edge Usage of Graph Neural Networks for Edge Prediction
Jiarui Jin, Yangkun Wang, Wei-Nan Zhang, Quan Gan +4 more
2022arXiv.org2 citations Open access
Semantic Scholar