Xiang Song - RankMe

58 papers A* 14A 3B 2Journal 36Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Feedback Control for Multi-Objective Graph Self-Supervision. CoRR Karish Grover, Theodore Vasiloudis, Han Xie, Sixing Lu, Xiang Song, Christos Faloutsos
2026	J	`jnl`	GLPilot: Efficient Distributed GNN Training With Learnable Embeddings. IEEE Trans. Parallel Distributed Syst. Chengru Yang, Chaoyi Ruan, Chengjie Tang, Ping Gong, Shiyi Wang, Xiang Song, Cheng Li
2026	J	`jnl`	P-EAGLE: Parallel-Drafting EAGLE with Scalable Training. CoRR Mude Hui, Xin Huang, Jaime Campos Salas, Yue Sun, Nathan Pemberton, Xiang Song, Ashish Khetan, George Karypis
2026	J	`jnl`	Relatron: Automating Relational Machine Learning over Relational Databases. CoRR Zhikai Chen, Han Xie, Jian Zhang, Jiliang Tang, Xiang Song, Huzefa Rangwala
2026	J	`jnl`	XShare: Collaborative in-Batch Expert Sharing for Faster MoE Inference. CoRR Daniil Vankov, Nikita Ivkin, Kyle Ulrich, Xiang Song, Ashish Khetan, George Karypis
2025	B	`conf`	Adaptive Parallel Training for Graph Neural Networks. PPoPP Kaihao Ma, Renjie Liu, Xiao Yan, Zhenkun Cai, Xiang Song, Minjie Wang, Yichao Li, James Cheng
2025	A*	`conf`	AutoG: Towards automatic graph construction from tabular data. ICLR Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis
2025	J	`jnl`	AutoG: Towards automatic graph construction from tabular data. CoRR Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis
2025	J	`jnl`	Dynamic Mixture-of-Experts for Incremental Graph Learning. CoRR Lecheng Kong, Theodore Vasiloudis, Seongjun Yun, Han Xie, Xiang Song
2025	J	`jnl`	Empowering GNNs for Domain Adaptation via Denoising Target Graph. CoRR Haiyang Yu, Meng-Chieh Lee, Xiang Song, Qi Zhu, Christos Faloutsos
2025	—	`conf`	GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models. EMNLP (Findings) Jialin Chen, Houyu Zhang, Seongjun Yun, Alejandro Mottini, Rex Ying, Xiang Song, Vassilis N. Ioannidis, Zheng Li, Qingjun Cui
2025	J	`jnl`	GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models. CoRR Jialin Chen, Houyu Zhang, Seongjun Yun, Alejandro Mottini, Rex Ying, Xiang Song, Vassilis N. Ioannidis, Zheng Li, Qingjun Cui
2025	A*	`conf`	Spectro-Riemannian Graph Neural Networks. ICLR Karish Grover, Haiyang Yu, Xiang Song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos
2025	J	`jnl`	Spectro-Riemannian Graph Neural Networks. CoRR Karish Grover, Haiyang Yu, Xiang Song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos
2025	A*	`conf`	Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation. ICLR Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Yijun Wang, Bosheng Song, Xiangxiang Zeng
2024	J	`jnl`	FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training. Proc. VLDB Endow. Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
2024	A*	`conf`	GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. KDD Da Zheng, Xiang Song, Qi Zhu, Jian Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis
2024	J	`jnl`	GraphStorm: all-in-one graph machine learning framework for industry applications. CoRR Da Zheng, Xiang Song, Qi Zhu, Jiani Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis
2024	—	`conf`	Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures. ASPLOS (3) Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-Mei Hwu
2024	J	`jnl`	Hierarchical Compression of Text-Rich Graphs via Large Language Models. CoRR Shichang Zhang, Da Zheng, Jiani Zhang, Qi Zhu, Xiang Song, Soji Adeshina, Christos Faloutsos, George Karypis, Yizhou Sun
2024	J	`jnl`	KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion. CoRR Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Jianxin Lin, Bosheng Song, Xiangxiang Zeng
2024	A*	`conf`	NetInfoF Framework: Measuring and Exploiting Network Usable Information. ICLR Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos
2024	J	`jnl`	NetInfoF Framework: Measuring and Exploiting Network Usable Information. CoRR Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos
2024	J	`jnl`	Parameter-Efficient Tuning Large Language Models for Graph Representation Learning. CoRR Qi Zhu, Da Zheng, Xiang Song, Shichang Zhang, Bowen Jin, Yizhou Sun, George Karypis
2024	A	`conf`	Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices. WSDM Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra
2024	A*	`conf`	TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. SIGIR Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos
2023	B	`conf`	DSP: Efficient GNN Training with Multiple GPUs. PPoPP Zhenkun Cai, Qihui Zhou, Xiao Yan, Da Zheng, Xiang Song, Chenguang Zheng, James Cheng, George Karypis
2023	A	`conf`	DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. SC Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna
2023	J	`jnl`	DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. CoRR Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna
2023	A*	`conf`	Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. KDD Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023	J	`jnl`	Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. CoRR Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023	A*	`conf`	GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes. KDD Jian Zhang, Da Zheng, Xiang Song, Theodore Vasiloudis, Israt Nisa, Jim Lu
2023	A*	`conf`	IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research. KDD Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-Mei Hwu
2023	J	`jnl`	IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research. CoRR Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-mei W. Hwu
2023	A*	`conf`	On the Initialization of Graph Neural Networks. ICML Jiahang Li, Yakun Song, Xiang Song, David Wipf
2023	J	`jnl`	On the Initialization of Graph Neural Networks. CoRR Jiahang Li, Yakun Song, Xiang Song, David Paul Wipf
2023	J	`jnl`	PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks. CoRR Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-mei W. Hwu
2023	A*	`conf`	PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. WWW Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun
2023	J	`jnl`	PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. CoRR Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun
2023	J	`jnl`	ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training. CoRR Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
2023	J	`jnl`	SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks. CoRR Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra
2023	J	`jnl`	TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. CoRR Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos
2022	J	`jnl`	ColdGuess: A General and Effective Relational Graph Convolutional Network to Tackle Cold Start Cases. CoRR Bo He, Xiang Song, Vincent Gao, Christos Faloutsos
2022	A*	`conf`	Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs. KDD Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, George Karypis
2022	J	`jnl`	Efficient and effective training of language and graph neural network models. CoRR Vassilis N. Ioannidis, Xiang Song, Da Zheng, Houyu Zhang, Jun Ma, Yi Xu, Belinda Zeng, Trishul Chilimbi, George Karypis
2022	A*	`conf`	Graph Neural Network Training and Data Tiering. KDD Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-Mei Hwu
2022	J	`jnl`	TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs. CoRR Hongkuan Zhou, Da Zheng, Israt Nisa, Vasileios Ioannidis, Xiang Song, George Karypis
2022	J	`jnl`	TGL: A General Framework for Temporal GNN Training onBillion-Scale Graphs. Proc. VLDB Endow. Hongkuan Zhou, Da Zheng, Israt Nisa, Vassilis N. Ioannidis, Xiang Song, George Karypis
2021	J	`jnl`	Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs. CoRR Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, Qidong Su, Minjie Wang, Chao Ma, George Karypis
2021	J	`jnl`	Graph Neural Network Training with Data Tiering. CoRR Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-mei W. Hwu
2021	J	`jnl`	Network In Graph Neural Network. CoRR Xiang Song, Runjie Ma, Jiahang Li, Muhan Zhang, David Paul Wipf
2021	A	`conf`	Scalable Graph Neural Networks with Deep Graph Library. WSDM Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis
2020	J	`jnl`	COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature. CoRR Colby Wise, Vassilis N. Ioannidis, Miguel Romero Calvo, Xiang Song, George Price, Ninad Kulkarni, Ryan Brand, Parminder Bhatia, George Karypis
2020	A*	`conf`	DGL-KE: Training Knowledge Graph Embeddings at Scale. SIGIR Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis
2020	J	`jnl`	DGL-KE: Training Knowledge Graph Embeddings at Scale. CoRR Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis
2020	—	`conf`	DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. IA3@SC Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
2020	J	`jnl`	DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. CoRR Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
2020	J	`jnl`	Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning. CoRR Xiangxiang Zeng, Xiang Song, Tengfei Ma, Xiaoqin Pan, Yadi Zhou, Yuan Hou, Zheng Zhang, George Karypis, Feixiong Cheng