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Revisiting Semi-Supervised Learning with Graph Embeddings

Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016
Zhilin Yang
William W. Cohen
Ruslan Salakhutdinov
    GNN
    SSL
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Papers citing "Revisiting Semi-Supervised Learning with Graph Embeddings"

50 / 1,040 papers shown
Title
GPN: A Joint Structural Learning Framework for Graph Neural Networks
GPN: A Joint Structural Learning Framework for Graph Neural Networks
Qianggang Ding
Deheng Ye
Tingyang Xu
P. Zhao
26
0
0
12 May 2022
NDGGNET-A Node Independent Gate based Graph Neural Networks
NDGGNET-A Node Independent Gate based Graph Neural Networks
Ye Tang
Xuesong Yang
Xinrui Liu
Xiwei Zhao
Zhangang Lin
Changping Peng
GNN
27
0
0
11 May 2022
LPGNet: Link Private Graph Networks for Node Classification
LPGNet: Link Private Graph Networks for Node Classification
Aashish Kolluri
Teodora Baluta
Bryan Hooi
Prateek Saxena
35
24
0
06 May 2022
Spiking Graph Convolutional Networks
Spiking Graph Convolutional Networks
Zulun Zhu
Jiaying Peng
Jintang Li
Liang Chen
Qi Yu
Siqiang Luo
GNN
25
46
0
05 May 2022
Label Efficient Regularization and Propagation for Graph Node
  Classification
Label Efficient Regularization and Propagation for Graph Node Classification
Tian Xie
Rajgopal Kannan
C.-C. Jay Kuo
27
2
0
19 Apr 2022
Optical Remote Sensing Image Understanding with Weak Supervision:
  Concepts, Methods, and Perspectives
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives
Jun Yue
Leyuan Fang
Pedram Ghamisi
Weiying Xie
Jun Li
Jocelyn Chanussot
Antonio J. Plaza
22
44
0
18 Apr 2022
BSAL: A Framework of Bi-component Structure and Attribute Learning for
  Link Prediction
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction
Bisheng Li
Min Zhou
Shengzhong Zhang
Menglin Yang
Defu Lian
Zengfeng Huang
39
11
0
18 Apr 2022
Neural Structured Prediction for Inductive Node Classification
Neural Structured Prediction for Inductive Node Classification
Meng Qu
Huiyu Cai
Jian Tang
BDL
GNN
18
18
0
15 Apr 2022
EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs
EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs
Sameera Horawalavithana
Ellyn Ayton
A. Usenko
Shivam Sharma
Jasmine Eshun
Robin Cosbey
M. Glenski
Svitlana Volkova
45
2
0
14 Apr 2022
Finding MNEMON: Reviving Memories of Node Embeddings
Finding MNEMON: Reviving Memories of Node Embeddings
Yun Shen
Yufei Han
Zhikun Zhang
Min Chen
Tingyue Yu
Michael Backes
Yang Zhang
Gianluca Stringhini
26
14
0
14 Apr 2022
How to Find Your Friendly Neighborhood: Graph Attention Design with
  Self-Supervision
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
Dongkwan Kim
Alice Oh
SSL
GNN
31
254
0
11 Apr 2022
Explicit Feature Interaction-aware Graph Neural Networks
Explicit Feature Interaction-aware Graph Neural Networks
Minkyu Kim
Hyunseung Choi
Jinho Kim
GNN
24
6
0
07 Apr 2022
Message Passing Neural Networks for Hypergraphs
Message Passing Neural Networks for Hypergraphs
Sajjad Heydari
L. Livi
GNN
6
12
0
31 Mar 2022
Metropolis-Hastings Data Augmentation for Graph Neural Networks
Metropolis-Hastings Data Augmentation for Graph Neural Networks
Hyeon-ju Park
Seunghun Lee
S. Kim
Jinyoung Park
Jisu Jeong
KyungHyun Kim
Jung-Woo Ha
Hyunwoo J. Kim
16
49
0
26 Mar 2022
Semi-Supervised Graph Learning Meets Dimensionality Reduction
Semi-Supervised Graph Learning Meets Dimensionality Reduction
Alex Morehead
Watchanan Chantapakul
Jianlin Cheng
21
0
0
23 Mar 2022
Exploring High-Order Structure for Robust Graph Structure Learning
Exploring High-Order Structure for Robust Graph Structure Learning
Guangqian Yang
Yibing Zhan
Jinlong Li
Baosheng Yu
Liu Liu
Fengxiang He
AAML
11
0
0
22 Mar 2022
LEReg: Empower Graph Neural Networks with Local Energy Regularization
LEReg: Empower Graph Neural Networks with Local Energy Regularization
Xiaojun Ma
Hanyue Chen
Guojie Song
30
3
0
20 Mar 2022
Meta-Weight Graph Neural Network: Push the Limits Beyond Global
  Homophily
Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily
Xiaojun Ma
Qinkai Chen
Yuanyi Ren
Guojie Song
Liang Wang
25
22
0
19 Mar 2022
GRAND+: Scalable Graph Random Neural Networks
GRAND+: Scalable Graph Random Neural Networks
Wenzheng Feng
Yuxiao Dong
Tinglin Huang
Ziqi Yin
Xu Cheng
Evgeny Kharlamov
Jie Tang
GNN
30
41
0
12 Mar 2022
Graph Summarization with Graph Neural Networks
Graph Summarization with Graph Neural Networks
Maximilian Blasi
M. Freudenreich
Johannes Horvath
David Richerby
A. Scherp
38
0
0
11 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph
  Neural Networks
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
Hongya Wang
Haoteng Yin
Muhan Zhang
Pan Li
48
108
0
01 Mar 2022
Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision
Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision
P. Elinas
Edwin V. Bonilla
AI4CE
34
5
0
25 Feb 2022
Unleashing the Power of Transformer for Graphs
Unleashing the Power of Transformer for Graphs
Lingbing Guo
Qiang Zhang
Huajun Chen
37
8
0
18 Feb 2022
Transformer for Graphs: An Overview from Architecture Perspective
Transformer for Graphs: An Overview from Architecture Perspective
Erxue Min
Runfa Chen
Yatao Bian
Tingyang Xu
Kangfei Zhao
Wenbing Huang
P. Zhao
Junzhou Huang
Sophia Ananiadou
Yu Rong
16
138
0
17 Feb 2022
Graph Masked Autoencoders with Transformers
Graph Masked Autoencoders with Transformers
Sixiao Zhang
Hongxu Chen
Haoran Yang
Xiangguo Sun
Philip S. Yu
Guandong Xu
23
18
0
17 Feb 2022
Understanding and Improving Graph Injection Attack by Promoting
  Unnoticeability
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
Yongqiang Chen
Han Yang
Yonggang Zhang
Kaili Ma
Tongliang Liu
Bo Han
James Cheng
AAML
27
83
0
16 Feb 2022
Adversarial Graph Contrastive Learning with Information Regularization
Adversarial Graph Contrastive Learning with Information Regularization
Shengyu Feng
Baoyu Jing
Yada Zhu
Yangqiu Song
22
65
0
14 Feb 2022
Geometric Graph Representation Learning via Maximizing Rate Reduction
Geometric Graph Representation Learning via Maximizing Rate Reduction
Xiaotian Han
Zhimeng Jiang
Ninghao Liu
Qingquan Song
Jundong Li
Xia Hu
31
21
0
13 Feb 2022
Robust Graph Representation Learning for Local Corruption Recovery
Robust Graph Representation Learning for Local Corruption Recovery
Bingxin Zhou
Yuanhong Jiang
Yu Guang Wang
Jingwei Liang
Junbin Gao
Shirui Pan
Xiaoqun Zhang
OOD
46
12
0
10 Feb 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation,
  Revisited
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
Mingguo He
Zhewei Wei
Ji-Rong Wen
GNN
27
105
0
04 Feb 2022
Gromov-Wasserstein Discrepancy with Local Differential Privacy for
  Distributed Structural Graphs
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs
Hongwei Jin
Xun Chen
37
9
0
01 Feb 2022
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial
  Pre-Colorings
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings
Or Feldman
A. Boyarski
Shai Feldman
D. Kogan
A. Mendelson
Chaim Baskin
40
14
0
31 Jan 2022
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem
Guanyu Cui
Zhewei Wei
32
8
0
31 Jan 2022
Graph Representation Learning via Aggregation Enhancement
Graph Representation Learning via Aggregation Enhancement
Maxim Fishman
Chaim Baskin
Evgenii Zheltonozhskii
Almog David
Ron Banner
A. Mendelson
32
0
0
30 Jan 2022
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph
  Neural Networks
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
Chenhui Deng
Xiuyu Li
Zhuobo Feng
Zhiru Zhang
AAML
58
22
0
30 Jan 2022
Zero-Shot Sketch Based Image Retrieval using Graph Transformer
Zero-Shot Sketch Based Image Retrieval using Graph Transformer
Sumrit Gupta
Ushasi Chaudhuri
Biplab Banerjee
22
10
0
25 Jan 2022
Hardware/Software Co-Programmable Framework for Computational SSDs to
  Accelerate Deep Learning Service on Large-Scale Graphs
Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs
Miryeong Kwon
Donghyun Gouk
Sangwon Lee
Myoungsoo Jung
GNN
21
26
0
23 Jan 2022
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid
  Scattering Networks
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks
Frederik Wenkel
Yimeng Min
M. Hirn
Michael Perlmutter
Guy Wolf
GNN
29
21
0
22 Jan 2022
Unsupervised Graph Poisoning Attack via Contrastive Loss
  Back-propagation
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
Sixiao Zhang
Hongxu Chen
Xiangguo Sun
Yicong Li
Guandong Xu
AAML
SSL
25
42
0
20 Jan 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias
Debiased Graph Neural Networks with Agnostic Label Selection Bias
Shaohua Fan
Xiao Wang
Chuan Shi
Kun Kuang
Nian Liu
Bai Wang
AI4CE
46
38
0
19 Jan 2022
Models for information propagation on graphs
Models for information propagation on graphs
Oliver R. A. Dunbar
C. M. Elliott
L. Kreusser
26
2
0
19 Jan 2022
Contrastive Laplacian Eigenmaps
Contrastive Laplacian Eigenmaps
Hao Zhu
Ke Sun
Piotr Koniusz
34
45
0
14 Jan 2022
Local2Global: A distributed approach for scaling representation learning
  on graphs
Local2Global: A distributed approach for scaling representation learning on graphs
Lucas G. S. Jeub
Giovanni Colavizza
Xiaowen Dong
Marya Bazzi
Mihai Cucuringu
28
1
0
12 Jan 2022
Neighbor2vec: an efficient and effective method for Graph Embedding
Neighbor2vec: an efficient and effective method for Graph Embedding
Zhiming Lin
GNN
20
0
0
07 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and
  Directions
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions
Xin Wang
Ziwei Zhang
Haoyang Li
Wenwu Zhu
56
2
0
04 Jan 2022
Motif Graph Neural Network
Motif Graph Neural Network
Xuexin Chen
Ruichu Cai
Yuan Fang
Min-man Wu
Zijian Li
Zhifeng Hao
16
22
0
30 Dec 2021
SkipNode: On Alleviating Performance Degradation for Deep Graph
  Convolutional Networks
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks
Weigang Lu
Yibing Zhan
Binbin Lin
Ziyu Guan
Liu Liu
Baosheng Yu
Wei Zhao
Yaming Yang
Dacheng Tao
GNN
23
13
0
22 Dec 2021
Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced
  Classes and New Classes
Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced Classes and New Classes
Lukas Galke
Iacopo Vagliano
Benedikt Franke
Tobias Zielke
Marcel Hoffmann
A. Scherp
CLL
36
13
0
20 Dec 2021
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised
  Graph Representation Learning Methods
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods
Md. Khaledur Rahman
A. Azad
AI4TS
33
3
0
20 Dec 2021
A Comparative Study on Robust Graph Neural Networks to Structural Noises
A Comparative Study on Robust Graph Neural Networks to Structural Noises
Zeyu Zhang
Yulong Pei
NoLa
AAML
22
4
0
11 Dec 2021
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