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1707.03815
Cited By
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
12 July 2017
Aleksandar Bojchevski
Stephan Günnemann
BDL
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Papers citing
"Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking"
50 / 135 papers shown
Title
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
Xunkai Li
Zhengyu Wu
Kaichi Yu
Hongchao Qin
Guang Zeng
Rong-Hua Li
Guoren Wang
40
0
0
02 May 2025
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning
Sixuan Wang
Jiao Yin
Jinli Cao
MingJian Tang
Hua Wang
Yanchun Zhang
GNN
AI4CE
61
0
0
30 Apr 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs
Michael Ito
Jiong Zhu
Dexiong Chen
Danai Koutra
Jenna Wiens
202
1
0
29 Apr 2025
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
Bowen Deng
Tong Wang
Lele Fu
Sheng Huang
Chuan Chen
Tao Zhang
89
0
0
17 Feb 2025
Graph Analysis Using a GPU-based Parallel Algorithm: Quantum Clustering
Zhe Wang
Zhijie He
Ding Liu
GNN
74
0
0
17 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Yuqi Liu
Fausto Giunchiglia
Ximing Li
Lan Huang
Xiaoyue Feng
Renchu Guan
OffRL
192
0
0
10 Jan 2025
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
Song Wang
Xiaodong Yang
Rashidul Islam
Huiyuan Chen
Minghua Xu
Jundong Li
Yiwei Cai
OODD
66
2
0
07 Jan 2025
CPT: Competence-progressive Training Strategy for Few-shot Node Classification
Qilong Yan
Yufeng Zhang
Jinghao Zhang
Jingpu Duan
Jian Yin
62
0
0
03 Jan 2025
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers
Ashish Parmanand Pandey
Alan John Varghese
Sarang Patil
Mengjia Xu
Mamba
123
0
0
15 Dec 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng Li
Jundong Li
Kaize Ding
OOD
55
2
0
25 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
Junchao Lin
Zenan Ling
Zhanbo Feng
Feng Zhou
Jingwen Xu
Feng Zhou
Tianqi Hou
Zhenyu Liao
Robert C. Qiu
GNN
AI4CE
54
0
0
11 Oct 2024
Explaining Graph Neural Networks for Node Similarity on Graphs
Daniel Daza
C. Chu
T. Tran
Daria Stepanova
Michael Cochez
Paul T. Groth
36
1
0
10 Jul 2024
Gaussian Embedding of Temporal Networks
Raphaël Romero
Jefrey Lijffijt
Riccardo Rastelli
Marco Corneli
Tijl De Bie
39
1
0
27 May 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks
Jianqing Song
Jianguo Huang
Wenyu Jiang
Baoming Zhang
Shuangjie Li
Chongjun Wang
48
2
0
23 May 2024
Link Stealing Attacks Against Inductive Graph Neural Networks
Yixin Wu
Xinlei He
Pascal Berrang
Mathias Humbert
Michael Backes
Neil Zhenqiang Gong
Yang Zhang
47
2
0
09 May 2024
A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications
Wenbo Shang
Xin Huang
33
9
0
23 Apr 2024
Forward Learning of Graph Neural Networks
Namyong Park
Xing Wang
Antoine Simoulin
Shuai Yang
Grey Yang
Ryan Rossi
Puja Trivedi
Nesreen K. Ahmed
GNN
47
1
0
16 Mar 2024
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
53
8
0
11 Mar 2024
Towards Robust Graph Incremental Learning on Evolving Graphs
Junwei Su
Difan Zou
Zijun Zhang
Chuan Wu
CLL
OOD
43
18
0
20 Feb 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Shaswata Mitra
Trisha Chakraborty
Subash Neupane
Aritran Piplai
Sudip Mittal
AAML
47
3
0
11 Jan 2024
Efficient High-Quality Clustering for Large Bipartite Graphs
Renchi Yang
Jieming Shi
27
6
0
28 Dec 2023
MultiDelete for Multimodal Machine Unlearning
Jiali Cheng
Hadi Amiri
MU
47
7
0
18 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization
Russell Hart
Linlin Yu
Yifei Lou
Feng Chen
UQCV
25
4
0
10 Nov 2023
Marginal Nodes Matter: Towards Structure Fairness in Graphs
Xiaotian Han
Kaixiong Zhou
Ting-Hsiang Wang
Jundong Li
Fei Wang
Na Zou
31
0
0
23 Oct 2023
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers
Alan John Varghese
Aniruddha Bora
Mengjia Xu
George Karniadakis
36
5
0
05 Jul 2023
A Survey on Graph Classification and Link Prediction based on GNN
Xingyu Liu
Juan Chen
Q. Wen
GNN
29
11
0
03 Jul 2023
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer
Yuchen Zhuang
Xin Shen
Yan Zhao
Chaosheng Dong
Ming Wang
Jin Li
Chao Zhang
AI4TS
37
3
0
25 Jun 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
24
24
0
16 Jun 2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
Donald Loveland
Jiong Zhu
Mark Heimann
Benjamin Fish
Michael T. Shaub
Danai Koutra
34
6
0
08 Jun 2023
Clarify Confused Nodes via Separated Learning
Jiajun Zhou
Sheng Gong
Chenxuan Xie
Shanqing Yu
Qi Xuan
Xiaoniu Yang
Xiaoniu Yang
91
3
0
04 Jun 2023
Quantifying Representation Reliability in Self-Supervised Learning Models
Young-Jin Park
Hao Wang
Shervin Ardeshir
Navid Azizan
SSL
UQCV
34
3
0
31 May 2023
GraphFC: Customs Fraud Detection with Label Scarcity
Karandeep Singh
Yu-Che Tsai
Cheng-Te Li
Meeyoung Cha
Shou-de Lin
27
7
0
19 May 2023
Edge Directionality Improves Learning on Heterophilic Graphs
Emanuele Rossi
Bertrand Charpentier
Francesco Di Giovanni
Fabrizio Frasca
Stephan Günnemann
Michael M. Bronstein
24
57
0
17 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning
Dayuan Chen
Jian Zhang
Yuqian Lv
Jinhuan Wang
Hongjie Ni
Shanqing Yu
Zhen Wang
Qi Xuan
AAML
33
3
0
04 May 2023
Revisiting Robustness in Graph Machine Learning
Lukas Gosch
Daniel Sturm
Simon Geisler
Stephan Günnemann
AAML
OOD
74
22
0
01 May 2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research
Arpandeep Khatua
Vikram Sharma Mailthody
Bhagyashree Taleka
Tengfei Ma
Xiang Song
Wen-mei W. Hwu
AI4CE
50
38
0
27 Feb 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
Jiali Cheng
George Dasoulas
Huan He
Chirag Agarwal
Marinka Zitnik
MU
47
37
0
26 Feb 2023
Are Defenses for Graph Neural Networks Robust?
Felix Mujkanovic
Simon Geisler
Stephan Günnemann
Aleksandar Bojchevski
OOD
AAML
21
57
0
31 Jan 2023
Continual Graph Learning: A Survey
Qiao Yuan
S. Guan
Pin Ni
Tianlun Luo
Ka Lok Man
Prudence W. H. Wong
Victor I. Chang
CLL
34
14
0
28 Jan 2023
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation
Ziwei Fan
Zhiwei Liu
Hao Peng
Philip S Yu
31
15
0
28 Jan 2023
Few-shot Node Classification with Extremely Weak Supervision
Song Wang
Yushun Dong
Kaize Ding
Chen Chen
Jundong Li
21
19
0
06 Jan 2023
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
Yan Scholten
Jan Schuchardt
Simon Geisler
Aleksandar Bojchevski
Stephan Günnemann
AAML
29
16
0
05 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
28
28
0
21 Dec 2022
TopoImb: Toward Topology-level Imbalance in Learning from Graphs
Tianxiang Zhao
Dongsheng Luo
Xiang Zhang
Suhang Wang
AI4CE
35
12
0
16 Dec 2022
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification
Zhen Tan
Song Wang
Kaize Ding
Jundong Li
Huan Liu
24
26
0
11 Dec 2022
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges
Jing Ren
Feng Xia
Azadeh Noori Hoshyar
Charu C. Aggarwal
42
26
0
11 Dec 2022
Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view information
Zhiyuan Liu
Chunjie Cao
Jingzhang Sun
24
9
0
11 Dec 2022
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification
Jun-Liang Lin
Yuan Wan
Jingwen Xu
X. Qi
31
0
0
04 Dec 2022
On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Noam Razin
Tom Verbin
Nadav Cohen
23
10
0
29 Nov 2022
Graph Neural Networks for Breast Cancer Data Integration
Teodora Reu
32
1
0
28 Nov 2022
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