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OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning

OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning

22 April 2025
Anirudhan Badrinath
Alex Yang
Kousik Rajesh
Prabhat Agarwal
Jaewon Yang
Haoyu Chen
Jiajing Xu
Charles R. Rosenberg
    AI4TS
ArXivPDFHTML

Papers citing "OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning"

19 / 19 papers shown
Title
OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search
OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search
Prabhat Agarwal
SK MinhazulIslam
Nikil Pancha
Kurchi Subhra Hazra
Jiajing Xu
Chuck Rosenberg
55
5
0
25 Apr 2024
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP
  Initialization
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Xiaotian Han
Tong Zhao
Yozen Liu
Xia Hu
Neil Shah
GNN
76
38
0
30 Sep 2022
ItemSage: Learning Product Embeddings for Shopping Recommendations at
  Pinterest
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest
Paul Baltescu
Haoyu Chen
Nikil Pancha
Andrew Zhai
J. Leskovec
Charles R. Rosenberg
DML
52
34
0
24 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
345
7,600
0
11 Nov 2021
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual
  Representations
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations
Josh Beal
Hao Wu
Dong Huk Park
Andrew Zhai
Dmitry Kislyuk
ViT
26
30
0
12 Aug 2021
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive
  Learning
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
Xiao Wang
Nian Liu
Hui-jun Han
C. Shi
SSL
50
379
0
19 May 2021
Scaling Graph Neural Networks with Approximate PageRank
Scaling Graph Neural Networks with Approximate PageRank
Aleksandar Bojchevski
Johannes Klicpera
Bryan Perozzi
Amol Kapoor
Martin J. Blais
Benedek Rozemberczki
Michal Lukasik
Stephan Günnemann
GNN
54
370
0
03 Jul 2020
Graph Enhanced Representation Learning for News Recommendation
Graph Enhanced Representation Learning for News Recommendation
Suyu Ge
Chuhan Wu
Fangzhao Wu
Tao Qi
Yongfeng Huang
AI4TS
32
123
0
31 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
119
18,523
0
13 Feb 2020
PyTorch-BigGraph: A Large-scale Graph Embedding System
PyTorch-BigGraph: A Large-scale Graph Embedding System
Adam Lerer
Ledell Yu Wu
Jiajun Shen
Timothée Lacroix
Luca Wehrstedt
Abhijit Bose
A. Peysakhovich
GNN
27
384
0
28 Mar 2019
AliGraph: A Comprehensive Graph Neural Network Platform
AliGraph: A Comprehensive Graph Neural Network Platform
Rong Zhu
Kun Zhao
Hongxia Yang
Wei Lin
Chang Zhou
Baole Ai
Yong Li
Jingren Zhou
GNN
67
387
0
23 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
603
93,936
0
11 Oct 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNN
BDL
151
3,513
0
06 Jun 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
225
19,902
0
30 Oct 2017
Hash Embeddings for Efficient Word Representations
Hash Embeddings for Efficient Word Representations
Dan Svenstrup
Jonas Meinertz Hansen
Ole Winther
18
76
0
12 Sep 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
273
15,066
0
07 Jun 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
114
4,772
0
17 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
310
28,795
0
09 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
109
10,800
0
03 Jul 2016
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