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Multi-scale Attributed Node Embedding

Multi-scale Attributed Node Embedding

28 September 2019
Benedek Rozemberczki
Carl Allen
Rik Sarkar
    GNN
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Papers citing "Multi-scale Attributed Node Embedding"

26 / 26 papers shown
Title
Graph Wave Networks
Graph Wave Networks
Juwei Yue
Haikuo Li
Jiawei Sheng
Yihan Guo
Xinghua Zhang
Chuan Zhou
Tingwen Liu
Li Guo
144
1
0
26 May 2025
GCAL: Adapting Graph Models to Evolving Domain Shifts
GCAL: Adapting Graph Models to Evolving Domain Shifts
Ziyue Qiao
Qianyi Cai
Hao Dong
Jiawei Gu
Pengyang Wang
Meng Xiao
Xiao Luo
Hui Xiong
CLL
72
0
0
22 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
202
0
0
29 Apr 2025
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
Thomas Dagès
Simon Weber
Ya-Wei Eileen Lin
Ronen Talmon
Daniel Cremers
M. Lindenbaum
A. Bruckstein
Ron Kimmel
148
0
0
23 Mar 2025
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
Zhen Zhang
Bingsheng He
164
2
0
05 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
Xiang Wang
Muhan Zhang
153
0
0
04 Feb 2025
FIT-GNN: Faster Inference Time for GNNs Using Coarsening
FIT-GNN: Faster Inference Time for GNNs Using Coarsening
Shubhajit Roy
Hrriday Ruparel
Kishan Ved
Anirban Dasgupta
GNN
AI4CE
111
0
0
28 Jan 2025
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach
Qin Chen
Liang Wang
Bo Zheng
Guojie Song
107
3
0
28 Jan 2025
ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction
ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction
Izzeddin Teeti
Aniket Thomas
Munish Monga
S. Kumar
Uddeshya Singh
Andrew Bradley
Biplab Banerjee
Fabio Cuzzolin
85
1
0
20 Jan 2025
On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications
On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications
Hyeonsoo Jo
Hyunjin Hwang
Fanchen Bu
Soo Yong Lee
Chanyoung Park
Kijung Shin
AAML
77
1
0
10 Jan 2025
CDC: A Simple Framework for Complex Data Clustering
CDC: A Simple Framework for Complex Data Clustering
Zhao Kang
Xuanting Xie
Bingheng Li
Erlin Pan
99
10
0
10 Jan 2025
Mixture of Experts for Node Classification
Mixture of Experts for Node Classification
Yu Shi
Yiqi Wang
WeiXuan Lang
Jiaxin Zhang
Pan Dong
Aiping Li
440
1
0
30 Nov 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
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
112
3
0
25 Oct 2024
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
Julius von Rohrscheidt
Bastian Rieck
60
1
0
03 Oct 2024
Neural Spacetimes for DAG Representation Learning
Neural Spacetimes for DAG Representation Learning
Haitz Sáez de Ocáriz Borde
Anastasis Kratsios
Marc T. Law
Xiaowen Dong
Michael Bronstein
CML
70
1
0
25 Aug 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Jonas Linkerhagner
Cheng Shi
Ivan Dokmanić
143
0
0
13 Aug 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Wenyu Mao
Jiancan Wu
Haoyang Liu
Yongduo Sui
Xiang Wang
OOD
76
2
0
03 Aug 2024
Commute Graph Neural Networks
Commute Graph Neural Networks
Wei Zhuo
Han Yu
Guang Tan
Xiaoxiao Li
GNN
120
1
0
30 Jun 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Akansha Agrawal
UQCV
159
1
0
20 May 2024
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Weichen Zhao
Chenguang Wang
Xinyan Wang
Congying Han
Tiande Guo
Tianshu Yu
95
0
0
23 Feb 2024
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
Kangkang Lu
Yanhua Yu
Hao Fei
Xuan Li
Zixuan Yang
Zirui Guo
Meiyu Liang
Mengran Yin
Tat-Seng Chua
55
3
0
28 Jan 2024
Adaptive Universal Generalized PageRank Graph Neural Network
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
216
729
0
14 Jun 2020
SIGN: Scalable Inception Graph Neural Networks
SIGN: Scalable Inception Graph Neural Networks
Fabrizio Frasca
Emanuele Rossi
D. Eynard
B. Chamberlain
M. Bronstein
Federico Monti
GNN
103
394
0
23 Apr 2020
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph
  Convolutional Networks
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Wei-Lin Chiang
Xuanqing Liu
Si Si
Yang Li
Samy Bengio
Cho-Jui Hsieh
GNN
136
1,268
0
20 May 2019
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
197
1,674
0
14 Oct 2018
Learning Role-based Graph Embeddings
Learning Role-based Graph Embeddings
Nesreen Ahmed
Ryan Rossi
J. B. Lee
Theodore L. Willke
R. Zhou
Xiangnan Kong
Hoda Eldardiry
51
96
0
07 Feb 2018
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