Da Zheng

Expert Syst. Appl., 2025

2024

Identification and Deformation Characteristics of Active Landslides at Large Hydropower Stations at the Early Impoundment Stage: A Case Study of the Lianghekou Reservoir Area in Sichuan Province, Southwest China.

[BibT_eX]

[DOI]

Remote. Sens., September, 2024

TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Hierarchical Compression of Text-Rich Graphs via Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

GraphStorm: all-in-one graph machine learning framework for industry applications.

[BibT_eX]

[DOI]

CoRR, 2024

Parameter-Efficient Tuning Large Language Models for Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

NetInfoF Framework: Measuring and Exploiting Network Usable Information.

[BibT_eX]

[DOI]

Meng-Chieh Lee

Haiyang Yu

Jian Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Revisit Orthogonality in Graph-Regularized MLPs.

[BibT_eX]

[DOI]

Hengrui Zhang

Shen Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

RAP: Resource-aware Automated GPU Sharing for Multi-GPU Recommendation Model Training and Input Preprocessing.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Tango: rethinking quantization for graph neural network training on GPUs.

[BibT_eX]

[DOI]

CoRR, 2023

OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization.

[BibT_eX]

[DOI]

Hengrui Zhang

Shen Wang

CoRR, 2023

PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2023

TANGO: re-thinking quantization for graph neural network training on GPUs.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2023

DSP: Efficient GNN Training with Multiple GPUs.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs.

[BibT_eX]

[DOI]

Costas Mavromatis

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

19th International Workshop on Mining and Learning with Graphs (MLG).

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Optimizing Irregular Dense Operators of Heterogeneous GNN Models on GPU.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

TGL: A General Framework for Temporal GNN Training onBillion-Scale Graphs.

[BibT_eX]

[DOI]

Hongkuan Zhou

Israt Nisa

Xiang Song

Proc. VLDB Endow., 2022

From Local to Global: Spectral-Inspired Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Efficient and effective training of language and graph neural network models.

[BibT_eX]

[DOI]

Balasubramaniam Srinivasan

CoRR, 2022

TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Nimble GNN Embedding with Tensor-Train Decomposition.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

TraverseNet: Unifying Space and Time in Message Passing.

[BibT_eX]

[DOI]

CoRR, 2021

Scalable Graph Neural Networks with Deep Graph Library.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Learning over Families of Sets - Hypergraph Representation Learning for Higher Order Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Dr. Top-k: delegate-centric Top-k on GPUs.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2021

Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs.

[BibT_eX]

[DOI]

Saurav Manchanda

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Assessment of the accuracy of several methods for measuring the spatial attitude of geological bodies using an android smartphone.

[BibT_eX]

[DOI]

Comput. Geosci., 2020

PanRep: Universal node embeddings for heterogeneous graphs.

[BibT_eX]

[DOI]

CoRR, 2020

Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing.

[BibT_eX]

[DOI]

CoRR, 2020

Collective Multi-type Entity Alignment Between Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learning Graph Neural Networks with Deep Graph Library.

[BibT_eX]

[DOI]

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

DGL-KE: Training Knowledge Graph Embeddings at Scale.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, 2020

FeatGraph: a flexible and efficient backend for graph neural network systems.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2020

Scalable Graph Neural Networks with Deep Graph Library.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs.

[BibT_eX]

[DOI]

CoRR, 2019

Graphyti: A Semi-External Memory Graph Library for FlashGraph.

[BibT_eX]

[DOI]

CoRR, 2019

clusterNOR: A NUMA-Optimized Clustering Framework.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers.

[BibT_eX]

[DOI]

CoRR, 2018

FlashR: parallelize and scale R for machine learning using SSDs.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018

2017

Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2017

knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library.

[BibT_eX]

[DOI]

Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 2017

2016

FlashMatrix: Parallel, Scalable Data Analysis with Generalized Matrix Operations using Commodity SSDs.

[BibT_eX]

[DOI]

CoRR, 2016

Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture.

[BibT_eX]

[DOI]

CoRR, 2016

An SSD-based eigensolver for spectral analysis on billion-node graphs.

[BibT_eX]

[DOI]

CoRR, 2016

NUMA-optimized In-memory and Semi-external-memory Parameterized Clustering.

[BibT_eX]

[DOI]

CoRR, 2016

Directed automatic speech transcription error correction using bidirectional LSTM.

[BibT_eX]

[DOI]

Proceedings of the 10th International Symposium on Chinese Spoken Language Processing, 2016

2015

Optimize Unsynchronized Garbage Collection in an SSD Array.

[BibT_eX]

[DOI]

Randal C. Burns

Alexander S. Szalay

CoRR, 2015

FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs.

[BibT_eX]

[DOI]

Proceedings of the 13th USENIX Conference on File and Storage Technologies, 2015

2014

Hadoop in Low-Power Processors.

[BibT_eX]

[DOI]

Alexander S. Szalay

Andreas Terzis

CoRR, 2014

FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs.

[BibT_eX]

[DOI]

CoRR, 2014

Active Community Detection in Massive Graphs.

[BibT_eX]

[DOI]

CoRR, 2014

Semantic parser enhancement for dialogue domain extension with little data.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

2013

Toward millions of file system IOPS on low-cost, commodity hardware.

[BibT_eX]

[DOI]

Randal C. Burns

Alexander S. Szalay

Proceedings of the International Conference for High Performance Computing, 2013

Parallel Set Determination and K-Means Clustering for Data Mining on Telecommunication Networks.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

2012

Automatic Parallelization of Array-oriented Programs for a Multi-core Machine.

[BibT_eX]

[DOI]

Wai-Mee Ching

Int. J. Parallel Program., 2012

A Parallel Page Cache: IOPS and Caching for Multicore Systems.

[BibT_eX]

[DOI]