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A Quest for Structure: Jointly Learning the Graph Structure and
  Semi-Supervised Classification

A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification

International Conference on Information and Knowledge Management (CIKM), 2018
26 September 2019
Xuan Wu
Lingxiao Zhao
Leman Akoglu
ArXiv (abs)PDFHTML

Papers citing "A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification"

13 / 13 papers shown
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
GraphFM: Graph Factorization Machines for Feature Interaction ModelingInternational Journal of Automation and Computing (IJAC), 2021
Shu Wu
Zekun Li
Yunyue Su
Zeyu Cui
Xiaoyu Zhang
Shu Wu
773
30
0
24 Feb 2025
RobGC: Towards Robust Graph Condensation
RobGC: Towards Robust Graph CondensationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Xinyi Gao
Hongzhi Yin
Tong Chen
Guanhua Ye
Wentao Zhang
Tengjiao Wang
AAML
603
10
0
19 Jun 2024
Self-Attention Empowered Graph Convolutional Network for Structure
  Learning and Node Embedding
Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding
Mengying Jiang
Guizhong Liu
Yuanchao Su
Xinliang Wu
GNNSSL
376
15
0
06 Mar 2024
A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application
A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application
Jingtao Ding
Chang Liu
Y. Zheng
Yunke Zhang
Zihan Yu
...
Hongyi Chen
J. Piao
Huandong Wang
Jiazhen Liu
Yong Li
AI4CE
378
13
0
23 Feb 2024
Robust Graph Structure Learning with the Alignment of Features and
  Adjacency Matrix
Robust Graph Structure Learning with the Alignment of Features and Adjacency Matrix
Shaogao Lv
Gang Wen
Shiyu Liu
Linsen Wei
Ming Li
249
4
0
05 Jul 2023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node
  Classification
NodeFormer: A Scalable Graph Structure Learning Transformer for Node ClassificationNeural Information Processing Systems (NeurIPS), 2023
Qitian Wu
Wentao Zhao
Zenan Li
David Wipf
Junchi Yan
365
369
0
14 Jun 2023
Adversarial Contrastive Learning for Evidence-aware Fake News Detection
  with Graph Neural Networks
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Jun Wu
Weizhi Xu
Qiang Liu
Shu Wu
Liang Wang
GNN
264
29
0
11 Oct 2022
Data Augmentation for Deep Graph Learning: A Survey
Data Augmentation for Deep Graph Learning: A SurveySIGKDD Explorations (SIGKDD Explor.), 2022
Kaize Ding
Zhe Xu
Hanghang Tong
Huan Liu
OODGNN
387
281
0
16 Feb 2022
Evidence-aware Fake News Detection with Graph Neural Networks
Evidence-aware Fake News Detection with Graph Neural NetworksThe Web Conference (WWW), 2022
Weizhi Xu
Jun Wu
Qiang Liu
Shu Wu
Liang Wang
GNN
262
119
0
18 Jan 2022
Is Homophily a Necessity for Graph Neural Networks?
Is Homophily a Necessity for Graph Neural Networks?International Conference on Learning Representations (ICLR), 2021
Yao Ma
Xiaorui Liu
Neil Shah
Shucheng Zhou
454
290
0
11 Jun 2021
GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph
  Neural Networks
GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks
Vijay Lingam
Arun Shankar Iyer
Rahul Ragesh
164
3
0
20 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural
  Networks
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2021
Bahare Fatemi
Layla El Asri
Seyed Mehran Kazemi
GNNSSL
404
192
0
09 Feb 2021
Grale: Designing Networks for Graph Learning
Grale: Designing Networks for Graph LearningKnowledge Discovery and Data Mining (KDD), 2020
Jonathan J. Halcrow
A. Mosoi
Sam Ruth
Bryan Perozzi
GNN
321
55
0
23 Jul 2020
1
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