GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

2 March 2019

Jian Tang

Papers citing "GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding"

44 / 44 papers shown

Title
AutoML-guided Fusion of Entity and LLM-based representations Boshko Koloski Senja Pollak Roberto Navigli Blaž Škrlj 14 0 0 19 Aug 2024
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs Yue Zhang Yuntian He Saket Gurukar Srinivasan Parthasarathy 38 0 0 31 Mar 2024
HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning Hanning Chen Yang Ni Ali Zakeri Zhuowen Zou Sanggeon Yun Fei Wen Behnam Khaleghi Narayan Srinivasa Hugo Latapie Mohsen Imani 38 3 0 09 Mar 2024
GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models Yuanchun Shen Ruotong Liao Zhen Han Yunpu Ma Volker Tresp 45 1 0 12 Oct 2023
Large language models converge toward human-like concept organization Mathias Gammelgaard Jonathan Gabel Christiansen Anders Søgaard 19 2 0 29 Aug 2023
HUGE: Huge Unsupervised Graph Embeddings with TPUs Brandon Mayer Anton Tsitsulin Hendrik Fichtenberger Jonathan J. Halcrow Bryan Perozzi GNN 13 1 0 26 Jul 2023
Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction Adrian Kochsiek Apoorv Saxena Inderjeet Nair Rainer Gemulla 31 8 0 22 May 2023
NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning Wen Zhang Zhen Yao Mingyang Chen Zhiwei Huang Hua-zeng Chen AI4CE 41 2 0 28 Apr 2023
Distributed Graph Embedding with Information-Oriented Random Walks Peng Fang Arijit Khan Siqiang Luo Fang Wang Dan Feng Zhenli Li Wei Yin Yu Cao GNN 18 11 0 28 Mar 2023
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter Vanessa Cai Pradeep Prabakar Manuel Serrano Rebuelta Lucas Rosen Federico Monti ... Tomo Lazovich J. Raj Y. Shrinivasan Hao Li Thomas Markovich 32 0 0 27 Feb 2023
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction Vardaan Pahuja Boshi Wang Hugo Latapie Jayanth Srinivasa Yu-Chuan Su 28 13 0 19 Dec 2022
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning Yuntian He Saket Gurukar Srinivas Parthasarathy FaML 29 2 0 17 Nov 2022
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles Dominik Filipiak A. Fensel A. Filipowska 40 1 0 06 Nov 2022
Bi-Link: Bridging Inductive Link Predictions from Text via Contrastive Learning of Transformers and Prompts Bohua Peng Shi Liang Mobarakol Islam 25 1 0 26 Oct 2022
IGNiteR: News Recommendation in Microblogging Applications (Extended Version) Yuting Feng Bogdan Cautis GNN AI4TS 31 3 0 04 Oct 2022
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs Zhaocheng Zhu Xinyu Yuan Mikhail Galkin Sophie Xhonneux Ming Zhang Maxime Gazeau Jian Tang GNN LRM 31 36 0 07 Jun 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Sequence-to-Sequence Knowledge Graph Completion and Question Answering Apoorv Saxena Adrian Kochsiek Rainer Gemulla AIMat 45 120 0 19 Mar 2022
Scaling Knowledge Graph Embedding Models Nasrullah Sheikh Xiao Qin B. Reinwald Chuan Lei 39 5 0 08 Jan 2022
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks Mubashir Imran Hongzhi Yin Tong Chen Zi Huang Kai Zheng 36 2 0 08 Jan 2022
Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems Weibin Li Mingkai He Zhengjie Huang Xianming Wang Shikun Feng Weiyue Su Yu Sun 20 4 0 02 Dec 2021
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs Hongyu Ren H. Dai Bo Dai Xinyun Chen Denny Zhou J. Leskovec Dale Schuurmans LRM 15 41 0 28 Oct 2021
Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles Boshko Koloski Timen Stepisnik Perdih Marko Robnik-Šikonja Senja Pollak Blaž Škrlj 24 70 0 20 Oct 2021
Boosting Graph Embedding on a Single GPU Amro Alabsi Aljundi Taha Atahan Akyildiz K. Kaya GNN 13 0 0 19 Oct 2021
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding Jingya Zhou Ling Liu Wenqi Wei Jianxi Fan AI4TS 43 73 0 14 Oct 2021
Scalable Graph Embedding LearningOn A Single GPU Azita Nouri Philip E. Davis P. Subedi M. Parashar GNN 36 1 0 13 Oct 2021
Towards Automatic Bias Detection in Knowledge Graphs Daphna Keidar Mian Zhong Ce Zhang Yash Raj Shrestha B. Paudel 59 11 0 19 Sep 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction Zhaocheng Zhu Zuobai Zhang Louis-Pascal Xhonneux Jian Tang GNN 33 300 0 13 Jun 2021
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction Vijay Viswanathan Graham Neubig Pengfei Liu 20 34 0 03 Jun 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson 18 178 0 27 May 2021
Cleora: A Simple, Strong and Scalable Graph Embedding Scheme Barbara Rychalska Piotr Bkabel Konrad Goluchowski Andrzej Michalowski Jacek Dkabrowski 31 17 0 03 Feb 2021
Marius: Learning Massive Graph Embeddings on a Single Machine J. Mohoney R. Waleffe Yiheng Xu Theodoros Rekatsinas Shivaram Venkataraman GNN 27 61 0 20 Jan 2021
Understanding graph embedding methods and their applications Mengjia Xu 26 129 0 15 Dec 2020
Understanding Coarsening for Embedding Large-Scale Graphs Taha Atahan Akyildiz Amro Alabsi Aljundi K. Kaya 11 4 0 10 Sep 2020
GOSH: Embedding Big Graphs on Small Hardware Taha Atahan Akyildiz Amro Alabsi Aljundi K. Kaya GNN 11 17 0 27 Aug 2020
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings Mehdi Ali M. Berrendorf Charles Tapley Hoyt Laurent Vermue Sahand Sharifzadeh Volker Tresp Jens Lehmann 39 142 0 28 Jul 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs Meng Qu Tianyu Gao Louis-Pascal Xhonneux Jian Tang BDL 29 106 0 05 Jul 2020
Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings David Chang Ivana Balazevic Carl Allen Daniel Chawla C. Brandt R. Taylor 16 40 0 24 Jun 2020
A Distributed Multi-GPU System for Large-Scale Node Embedding at Tencent Wanjing Wei Yangzihao Wang Ping Gao Shijie Sun Donghai Yu GNN 11 7 0 28 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 53 2,658 0 02 May 2020
DGL-KE: Training Knowledge Graph Embeddings at Scale Da Zheng Xiang Song Chao Ma Zeyuan Tan Zihao Ye Jin Dong Hao Xiong Zheng Zhang George Karypis 15 188 0 18 Apr 2020
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation Xiaozhi Wang Tianyu Gao Zhaocheng Zhu Zhengyan Zhang Zhiyuan Liu Juan-Zi Li Jian Tang 15 647 0 13 Nov 2019
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank Renchi Yang Jieming Shi Xiaokui Xiao Yifan Yang S. Bhowmick 17 65 0 17 Jun 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 33 5,406 0 20 Dec 2018