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Learning Backward Compatible Embeddings

Learning Backward Compatible Embeddings

7 June 2022
Weihua Hu
Rajas Bansal
Kaidi Cao
Nikhil S. Rao
Karthik Subbian
J. Leskovec
ArXiv (abs)PDFHTML

Papers citing "Learning Backward Compatible Embeddings"

13 / 13 papers shown
Title
Open Graph Benchmark: Datasets for Machine Learning on Graphs
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
309
2,746
0
02 May 2020
Towards Backward-Compatible Representation Learning
Towards Backward-Compatible Representation Learning
Yantao Shen
Yuanjun Xiong
Wei Xia
Stefano Soatto
69
81
0
26 Mar 2020
Neural Graph Collaborative Filtering
Neural Graph Collaborative Filtering
Xiang Wang
Xiangnan He
Meng Wang
Fuli Feng
Tat-Seng Chua
189
2,997
0
20 May 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
104
389
0
23 Feb 2019
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong
  Baselines, Comparative Analyses, and Some Misconceptions
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions
Goran Glavaš
Robert Litschko
Sebastian Ruder
Ivan Vulić
ELM
82
183
0
01 Feb 2019
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
GNNBDL
269
3,552
0
06 Jun 2018
A Survey Of Cross-lingual Word Embedding Models
A Survey Of Cross-lingual Word Embedding Models
Sebastian Ruder
Ivan Vulić
Anders Søgaard
87
531
0
15 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
514
15,331
0
07 Jun 2017
Dynamic Word Embeddings for Evolving Semantic Discovery
Dynamic Word Embeddings for Evolving Semantic Discovery
Zijun Yao
Yifan Sun
Weicong Ding
Nikhil S. Rao
Hui Xiong
AI4TS
60
223
0
02 Mar 2017
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
191
10,906
0
03 Jul 2016
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
402
33,565
0
16 Oct 2013
Exploiting Similarities among Languages for Machine Translation
Exploiting Similarities among Languages for Machine Translation
Tomas Mikolov
Quoc V. Le
Ilya Sutskever
101
1,597
0
17 Sep 2013
BPR: Bayesian Personalized Ranking from Implicit Feedback
BPR: Bayesian Personalized Ranking from Implicit Feedback
Steffen Rendle
Christoph Freudenthaler
Zeno Gantner
Lars Schmidt-Thieme
BDL
157
5,735
0
09 May 2012
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