Da Zheng

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

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

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

2015

Optimize Unsynchronized Garbage Collection in an SSD Array.

[BibT_eX]

[DOI]

Randal C. Burns

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]

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

2013

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

[BibT_eX]

[DOI]

Randal C. Burns

Proceedings of the International Conference for High Performance Computing, 2013

2012

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

[BibT_eX]

[DOI]

Randal C. Burns