Da Zheng

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 69

Top Topics

Relational Graph

External Memory

Top Venues

Publications

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
GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. KDD (2024)
Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos
NetInfoF Framework: Measuring and Exploiting Network Usable Information. ICLR (2024)
Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos
NetInfoF Framework: Measuring and Exploiting Network Usable Information. CoRR (2024)
Zheng Wang, Yuke Wang, Jiaqi Deng, Da Zheng, Ang Li, Yufei Ding
RAP: Resource-aware Automated GPU Sharing for Multi-GPU Recommendation Model Training and Input Preprocessing. ASPLOS (2) (2024)
Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-Mei Hwu
Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures. ASPLOS (3) (2024)
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
GraphStorm: all-in-one graph machine learning framework for industry applications. CoRR (2024)
Qi Zhu, Da Zheng, Xiang Song, Shichang Zhang, Bowen Jin, Yizhou Sun, George Karypis
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning. CoRR (2024)
Shichang Zhang, Da Zheng, Jiani Zhang, Qi Zhu, Xiang Song, Soji Adeshina, Christos Faloutsos, George Karypis, Yizhou Sun
Hierarchical Compression of Text-Rich Graphs via Large Language Models. CoRR (2024)
Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. ECML/PKDD (3) (2023)
Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. CoRR (2023)
Neil Shah, Shobeir Fakhraei, Da Zheng, Bahare Fatemi, Leman Akoglu
19th International Workshop on Mining and Learning with Graphs (MLG). KDD (2023)
Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. CoRR (2023)
Zhenkun Cai, Qihui Zhou, Xiao Yan, Da Zheng, Xiang Song, Chenguang Zheng, James Cheng, George Karypis
DSP: Efficient GNN Training with Multiple GPUs. PPoPP (2023)
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
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. CoRR (2023)
Israt Nisa, Minjie Wang, Da Zheng, Qiang Fu, Ümit V. Çatalyürek, George Karypis
Optimizing Irregular Dense Operators of Heterogeneous GNN Models on GPU. IPDPS Workshops (2023)
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
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. KDD (2023)
Shiyang Chen, Da Zheng, Caiwen Ding, Chengying Huan, Yuede Ji, Hang Liu
TANGO: re-thinking quantization for graph neural network training on GPUs. SC (2023)
Shiyang Chen, Da Zheng, Caiwen Ding, Chengying Huan, Yuede Ji, Hang Liu
Tango: rethinking quantization for graph neural network training on GPUs. CoRR (2023)
Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. CoRR (2023)
Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. WWW (2023)
Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-Mei W. Hwu
PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks. CoRR (2023)
Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. SC (2023)
Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. CoRR (2023)
Jian Zhang, Da Zheng, Xiang Song, Theodore Vasiloudis, Israt Nisa, Jim Lu
GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes. KDD (2023)
Hongkuan Zhou, Da Zheng, Israt Nisa, Vasileios Ioannidis, Xiang Song, George Karypis
TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs. CoRR (2022)
Hongkuan Zhou, Da Zheng, Israt Nisa, Vassilis N. Ioannidis, Xiang Song, George Karypis
TGL: A General Framework for Temporal GNN Training onBillion-Scale Graphs. Proc. VLDB Endow. 15 (8) (2022)
Vassilis N. Ioannidis, Xiang Song, Da Zheng, Houyu Zhang, Jun Ma, Yi Xu, Belinda Zeng, Trishul Chilimbi, George Karypis
Efficient and effective training of language and graph neural network models. CoRR (2022)
Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc
Nimble GNN Embedding with Tensor-Train Decomposition. KDD (2022)
Ningyuan Huang, Soledad Villar, Carey E. Priebe, Da Zheng, Chengyue Huang, Lin Yang, Vladimir Braverman
From Local to Global: Spectral-Inspired Graph Neural Networks. CoRR (2022)
Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc
Nimble GNN Embedding with Tensor-Train Decomposition. CoRR (2022)
Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, George Karypis
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs. KDD (2022)
Jialin Dong, Da Zheng, Lin F. Yang, George Karypis
Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs. KDD (2021)
Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis
TraverseNet: Unifying Space and Time in Message Passing. CoRR (2021)
Balasubramaniam Srinivasan, Da Zheng, George Karypis
Learning over Families of Sets - Hypergraph Representation Learning for Higher Order Tasks. SDM (2021)
Jialin Dong, Da Zheng, Lin F. Yang, George Karypis
Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs. CoRR (2021)
Anil Gaihre, Da Zheng, Scott Weitze, Lingda Li, Shuaiwen Leon Song, Caiwen Ding, Xiaoye S. Li, Hang Liu
Dr. Top-k: Delegate-Centric Top-k on GPUs. CoRR (2021)
Saurav Manchanda, Da Zheng, George Karypis
Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs. CoRR (2021)
Anil Gaihre, Da Zheng, Scott Weitze, Lingda Li, Shuaiwen Leon Song, Caiwen Ding, Xiaoye S. Li, Hang Liu
Dr. Top-k: delegate-centric Top-k on GPUs. SC (2021)
Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, Qidong Su, Minjie Wang, Chao Ma, George Karypis
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs. CoRR (2021)
Saurav Manchanda, Da Zheng, George Karypis
Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs. IEEE BigData (2021)
Balasubramaniam Srinivasan, Da Zheng, George Karypis
Learning over Families of Sets - Hypergraph Representation Learning for Higher Order Tasks. CoRR (2021)
Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis
Scalable Graph Neural Networks with Deep Graph Library. WSDM (2021)
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems. CoRR (2020)
Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis
Scalable Graph Neural Networks with Deep Graph Library. KDD (2020)
Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis
Learning Graph Neural Networks with Deep Graph Library. WWW (Companion Volume) (2020)
Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, Jiawei Han
Collective Multi-type Entity Alignment Between Knowledge Graphs. WWW (2020)
Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis
DGL-KE: Training Knowledge Graph Embeddings at Scale. CoRR (2020)
Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. IA3@SC (2020)
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
FeatGraph: a flexible and efficient backend for graph neural network systems. SC (2020)
Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis
DGL-KE: Training Knowledge Graph Embeddings at Scale. SIGIR (2020)
Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. CoRR (2020)
Vassilis N. Ioannidis, Da Zheng, George Karypis
Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing. CoRR (2020)
Vassilis N. Ioannidis, Da Zheng, George Karypis
PanRep: Universal node embeddings for heterogeneous graphs. CoRR (2020)
Jue Wang, Nengpan Ju, Chaoyang He, Junchao Cai, Da Zheng
Assessment of the accuracy of several methods for measuring the spatial attitude of geological bodies using an android smartphone. Comput. Geosci. 136 (2020)
Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander J. Smola, Zheng Zhang
Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. CoRR (2019)
Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns
Graphyti: A Semi-External Memory Graph Library for FlashGraph. CoRR (2019)
Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns
clusterNOR: A NUMA-Optimized Clustering Framework. CoRR (2019)
Da Zheng, Disa Mhembere, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
FlashR: parallelize and scale R for machine learning using SSDs. PPOPP (2018)
Hang Liu, Yufei Ding, Da Zheng, Seung Woo Son, Da Yan
Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers. CoRR (2018)
Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs. IEEE Trans. Parallel Distributed Syst. 28 (5) (2017)
Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns
knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library. HPDC (2017)
Disa Mhembere, Da Zheng, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
NUMA-optimized In-memory and Semi-external-memory Parameterized Clustering. CoRR (2016)
Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture. CoRR (2016)
Da Zheng, Disa Mhembere, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
FlashMatrix: Parallel, Scalable Data Analysis with Generalized Matrix Operations using Commodity SSDs. CoRR (2016)
Da Zheng, Zhehuai Chen, Yue Wu, Kai Yu
Directed automatic speech transcription error correction using bidirectional LSTM. ISCSLP (2016)
Da Zheng, Randal C. Burns, Joshua T. Vogelstein, Carey E. Priebe, Alexander S. Szalay
An SSD-based eigensolver for spectral analysis on billion-node graphs. CoRR (2016)
Da Zheng, Randal C. Burns, Alexander S. Szalay
Optimize Unsynchronized Garbage Collection in an SSD Array. CoRR (2015)
Da Zheng, Disa Mhembere, Randal C. Burns, Joshua T. Vogelstein, Carey E. Priebe, Alexander S. Szalay
FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs. FAST (2015)
Su Zhu, Lu Chen, Kai Sun, Da Zheng, Kai Yu
Semantic parser enhancement for dialogue domain extension with little data. SLT (2014)
Da Zheng, Alexander S. Szalay, Andreas Terzis
Hadoop in Low-Power Processors. CoRR (2014)
Heng Wang, Da Zheng, Randal C. Burns, Carey E. Priebe
Active Community Detection in Massive Graphs. CoRR (2014)
Da Zheng, Disa Mhembere, Randal C. Burns, Alexander S. Szalay
FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs. CoRR (2014)
Da Zheng, Randal C. Burns, Alexander S. Szalay
Toward millions of file system IOPS on low-cost, commodity hardware. SC (2013)
Da-Qi Ren, Da Zheng, Guowei Huang, Shujie Zhang, Zane Wei
Parallel Set Determination and K-Means Clustering for Data Mining on Telecommunication Networks. HPCC/EUC (2013)
Da Zheng, Randal C. Burns, Alexander S. Szalay
A Parallel Page Cache: IOPS and Caching for Multicore Systems. HotStorage (2012)
Wai-Mee Ching, Da Zheng
Automatic Parallelization of Array-oriented Programs for a Multi-core Machine. Int. J. Parallel Program. 40 (5) (2012)
Da Zheng, Anne-Marie Bosneag, Sidath Handurukande, David Cleary
Extending classic telecommunication addressing schemes for Home Gateway based user content and services discovery. CCNC (2011)
Da Zheng, Lei Jiang, Zhengyun Ren, Jian-An Fang, Xiumei Wu
Signal reconstruction and frequency estimation of a biased and noisy sinusoidal signal. ICCA (2010)
Da Zheng, Zhengyun Ren, Jian-An Fang
Stability Analysis of Time Delayed System with Coefficient Uncertainty and Time Delay Uncertainty. Eur. J. Control 16 (1) (2010)