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Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous
  Graphs

Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs

16 July 2020
Dasol Hwang
Jinyoung Park
Sunyoung Kwon
KyungHyun Kim
Jung-Woo Ha
Hyunwoo J. Kim
ArXivPDFHTML

Papers citing "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs"

16 / 16 papers shown
Title
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
Hugo Thimonier
José Lucas De Melo Costa
Fabrice Popineau
Arpad Rimmel
Bich-Liên Doan
53
1
0
07 Oct 2024
Learning How to Propagate Messages in Graph Neural Networks
Learning How to Propagate Messages in Graph Neural Networks
Teng Xiao
Zhengyu Chen
Donglin Wang
Suhang Wang
GNN
31
76
0
01 Oct 2023
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and
  Adaptively Weighted Negative Samples
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples
Jianxiang Yu
Qingqing Ge
Xiang Li
Aoying Zhou
30
7
0
28 Dec 2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning
Position-Aware Subgraph Neural Networks with Data-Efficient Learning
Chang-Shu Liu
Yuwen Yang
Zhe Xie
Hongtao Lu
Yue Ding
36
4
0
01 Nov 2022
Self-Supervised Hypergraph Transformer for Recommender Systems
Self-Supervised Hypergraph Transformer for Recommender Systems
Lianghao Xia
Chao Huang
Chuxu Zhang
27
109
0
28 Jul 2022
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous
  Driving
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
Prarthana Bhattacharyya
Chengjie Huang
Krzysztof Czarnecki
SSL
42
55
0
28 Jun 2022
Adaptive Transfer Learning on Graph Neural Networks
Adaptive Transfer Learning on Graph Neural Networks
Xueting Han
Zhenhuan Huang
Bang An
Jing Bai
27
59
0
19 Jul 2021
Graph Contrastive Learning Automated
Graph Contrastive Learning Automated
Yuning You
Tianlong Chen
Yang Shen
Zhangyang Wang
24
447
0
10 Jun 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Yaochen Xie
Zhao Xu
Jingtun Zhang
Zhengyang Wang
Shuiwang Ji
SSL
33
324
0
22 Feb 2021
Taxonomy Completion via Triplet Matching Network
Taxonomy Completion via Triplet Matching Network
Jieyu Zhang
Xiangchen Song
Ying Zeng
Jiaze Chen
Jiaming Shen
Yuning Mao
Lei Li
26
38
0
06 Jan 2021
Graph-Based Global Reasoning Networks
Graph-Based Global Reasoning Networks
Yunpeng Chen
Marcus Rohrbach
Zhicheng Yan
Shuicheng Yan
Jiashi Feng
Yannis Kalantidis
GNN
NAI
268
457
0
30 Nov 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
341
11,684
0
09 Mar 2017
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
193
1,778
0
02 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
280
1,400
0
01 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,239
0
24 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
250
3,190
0
30 Oct 2016
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