PyTorch-BigGraph: A Large-scale Graph Embedding System

28 March 2019

Papers citing "PyTorch-BigGraph: A Large-scale Graph Embedding System"

50 / 56 papers shown

Title
OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning Anirudhan Badrinath Alex Yang Kousik Rajesh Prabhat Agarwal Jaewon Yang Haoyu Chen Jiajing Xu Charles R. Rosenberg AI4TS 31 0 0 22 Apr 2025
Addressing Hallucinations in Language Models with Knowledge Graph Embeddings as an Additional Modality Viktoriia Chekalina Anton Razzigaev Elizaveta Goncharova Andrey Kuznetsov KELM 73 0 0 18 Nov 2024
Leiden-Fusion Partitioning Method for Effective Distributed Training of Graph Embeddings Yuhe Bai Camélia Constantin Hubert Naacke GNN 25 4 0 15 Sep 2024
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs Vipul Gupta Xin Chen Ruoyun Huang Fanlong Meng Jianjun Chen Yujun Yan GNN 33 0 0 22 Jul 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction Venkata Sai Pranav Bachina Ankit Gangwal Aaryan Ajay Sharma Charu Sharma 50 1 0 07 Jun 2024
Standardizing Knowledge Engineering Practices with a Reference Architecture Bradley Paul Allen Filip Ilievski 39 2 0 04 Apr 2024
Negative Sampling in Knowledge Graph Representation Learning: A Review Tiroshan Madushanka R. Ichise 52 8 0 29 Feb 2024
Multi-GPU Approach for Training of Graph ML Models on large CFD Meshes Sebastian Strönisch Maximilian Sander A. Knüpfer M. Meyer AI4CE 25 8 0 25 Jul 2023
Source-Aware Embedding Training on Heterogeneous Information Networks Tsai Hor Chan Chi Ho Wong Jiajun Shen Guosheng Yin 32 5 0 10 Jul 2023
Knowledge Graphs Querying Arijit Khan 34 16 0 23 May 2023
Enriching language models with graph-based context information to better understand textual data Albert Roethel M. Ganzha Anna Wróblewska 21 2 0 10 May 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings Asim Waheed Vasisht Duddu Nadarajah Asokan 35 9 0 17 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 13 11 0 28 Mar 2023
GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering Debayan Banerjee Pranav Ajit Nair Ricardo Usbeck Chris Biemann 21 9 0 23 Mar 2023
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 29 15 0 02 Feb 2023
$$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks$ $\rm A^2Q$ : Aggregation-Aware Quantization for Graph Neural Networks Zeyu Zhu Fanrong Li Zitao Mo Qinghao Hu Gang Li Zejian Liu Xiaoyao Liang Jian Cheng GNN MQ 29 4 0 01 Feb 2023
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles Dominik Filipiak A. Fensel A. Filipowska 33 1 0 06 Nov 2022
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings Adrian Kochsiek Fritz Niesel Rainer Gemulla 23 3 0 11 Jul 2022
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 24 12 0 17 Jun 2022
Efficient Heterogeneous Treatment Effect Estimation With Multiple Experiments and Multiple Outcomes Leon Yao Caroline Lo Israel Nir S. Tan Ariel Evnine Adam Lerer A. Peysakhovich CML 23 6 0 10 Jun 2022
Descartes: Generating Short Descriptions of Wikipedia Articles Marija Sakota Maxime Peyrard Robert West VLM 20 2 0 20 May 2022
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks Sumit K. Mandal Gokul Krishnan A. Alper Goksoy Gopikrishnan R. Nair Yu Cao Ümit Y. Ogras GNN 29 10 0 15 May 2022
Modern Baselines for SPARQL Semantic Parsing Debayan Banerjee Pranav Ajit Nair Jivat Neet Kaur Ricardo Usbeck Chris Biemann 30 29 0 27 Apr 2022
MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering V. Chekalina Anton Razzhigaev A. Sayapin Evgeny Frolov Alexander Panchenko 31 7 0 22 Apr 2022
Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Model Carina Negreanu Alperen Karaoglu Jack Williams Shuang Chen Daniel Fabian Andrew D. Gordon Chin-Yew Lin RALM AIMat LMTD 21 2 0 14 Apr 2022
Multilingual Event Linking to Wikidata Adithya Pratapa Rishubh Gupta Teruko Mitamura 27 7 0 13 Apr 2022
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling Cheng Wan Youjie Li Ang Li Namjae Kim Yingyan Lin GNN 31 75 0 21 Mar 2022
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks Ranggi Hwang M. Kang Jiwon Lee D. Kam Youngjoo Lee Minsoo Rhu GNN 16 20 0 01 Mar 2022
Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data Manish Bhattarai Namita Kharat E. Skau B. Nebgen H. Djidjev S. Rajopadhye James P. Smith Boian Alexandrov 28 10 0 19 Feb 2022
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings Malte Ostendorff Nils Rethmeier Isabelle Augenstein Bela Gipp Georg Rehm 19 73 0 14 Feb 2022
NxtPost: User to Post Recommendations in Facebook Groups Kaushik Rangadurai Yiqun Liu Siddarth Malreddy Xiaoyi Liu P. Maheshwari Vishwanath Sangale Fedor Borisyuk 14 6 0 08 Feb 2022
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks R. Waleffe J. Mohoney Theodoros Rekatsinas Shivaram Venkataraman GNN 26 25 0 04 Feb 2022
Scaling Knowledge Graph Embedding Models Nasrullah Sheikh Xiao Qin B. Reinwald Chuan Lei 39 5 0 08 Jan 2022
Scalable Graph Embedding LearningOn A Single GPU Azita Nouri Philip E. Davis P. Subedi M. Parashar GNN 30 1 0 13 Oct 2021
Assessing the quality of sources in Wikidata across languages: a hybrid approach Gabriel Amaral A. Piscopo Lucie-Aimée Kaffee Odinaldo Rodrigues Elena Simperl HILM 36 17 0 20 Sep 2021
AdaGNN: A multi-modal latent representation meta-learner for GNNs based on AdaBoosting Qinyi Zhu Yiou Xiao AI4CE 42 3 0 14 Aug 2021
MOOCRep: A Unified Pre-trained Embedding of MOOC Entities Shalini Pandey Jaideep Srivastava 11 0 0 12 Jul 2021
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs Mikhail Galkin E. Denis Jiapeng Wu William L. Hamilton OCL 25 86 0 23 Jun 2021
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table Huifeng Guo Wei Guo Yong Gao Ruiming Tang Xiuqiang He Wenzhi Liu 26 20 0 17 Apr 2021
Accelerating COVID-19 research with graph mining and transformer-based learning Ilya Tyagin Ankit Kulshrestha Justin Sybrandt Krish Matta M. Shtutman Ilya Safro OOD AI4CE 28 6 0 10 Feb 2021
Generalizing Cross-Document Event Coreference Resolution Across Multiple Corpora M. Bugert Nils Reimers Iryna Gurevych 24 17 0 24 Nov 2020
UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling Xingyu Yao Yingxia Shao Tengjiao Wang Lei Chen 16 9 0 10 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 30 225 0 30 Sep 2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs Santosh Pandey Lingda Li A. Hoisie Xin Li Hang Liu 25 60 0 18 Sep 2020
Understanding Coarsening for Embedding Large-Scale Graphs Taha Atahan Akyildiz Amro Alabsi Aljundi K. Kaya 8 4 0 10 Sep 2020
Reducing Communication in Graph Neural Network Training Alok Tripathy Katherine Yelick A. Buluç GNN 27 104 0 07 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 30 2,652 0 02 May 2020
HyGCN: A GCN Accelerator with Hybrid Architecture Yurui Lai Lei Deng Xing Hu Ling Liang Yujing Feng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie GNN 30 287 0 07 Jan 2020
Scalable Zero-shot Entity Linking with Dense Entity Retrieval Ledell Yu Wu Fabio Petroni Martin Josifoski Sebastian Riedel Luke Zettlemoyer 22 183 0 10 Nov 2019
Federated User Representation Learning D. Bui Kshitiz Malik Jack Goetz Honglei Liu Seungwhan Moon Anuj Kumar K. Shin FedML 24 62 0 27 Sep 2019