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DropEdge: Towards Deep Graph Convolutional Networks on Node
  Classification

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

25 July 2019
Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
ArXivPDFHTML

Papers citing "DropEdge: Towards Deep Graph Convolutional Networks on Node Classification"

50 / 226 papers shown
Title
Negative Metric Learning for Graphs
Negative Metric Learning for Graphs
Yiyang Zhao
Chengpei Wu
Lilin Zhang
Ning Yang
19
0
0
15 May 2025
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning
Zixu Wang
Bingbing Xu
Yige Yuan
Huawei Shen
Xueqi Cheng
34
0
0
07 May 2025
Wide & Deep Learning for Node Classification
Wide & Deep Learning for Node Classification
Yancheng Chen
Wenguo Yang
Zhipeng Jiang
GNN
38
0
0
04 May 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Jonathan Kouchly
Ben Finkelshtein
M. Bronstein
Ron Levie
39
0
0
25 Apr 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffM
GNN
94
0
0
16 Mar 2025
ReSi: A Comprehensive Benchmark for Representational Similarity Measures
ReSi: A Comprehensive Benchmark for Representational Similarity Measures
Max Klabunde
Tassilo Wald
Tobias Schumacher
Klaus H. Maier-Hein
Markus Strohmaier
Adriana Iamnitchi
AI4TS
VLM
78
5
0
13 Mar 2025
A Survey of Graph Transformers: Architectures, Theories and Applications
A Survey of Graph Transformers: Architectures, Theories and Applications
Chaohao Yuan
Kangfei Zhao
Ercan Engin Kuruoglu
Liang Wang
Tingyang Xu
Wenbing Huang
Deli Zhao
Hong Cheng
Yu Rong
57
4
0
23 Feb 2025
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Jasraj Singh
Keyue Jiang
Brooks Paige
Laura Toni
70
1
0
11 Feb 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
Emir Ceyani
Han Xie
Baturalp Buyukates
Carl Yang
Salman Avestimehr
FedML
97
0
0
22 Jan 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay
Enhancing Graph Self-Supervised Learning with Graph Interplay
Xinjian Zhao
Wei Pang
Xiangru Jian
Yaoyao Xu
Chaolong Ying
Tianshu Yu
56
0
0
17 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs
Optimality of Message-Passing Architectures for Sparse Graphs
Aseem Baranwal
K. Fountoulakis
Aukosh Jagannath
81
11
0
10 Jan 2025
CPT: Competence-progressive Training Strategy for Few-shot Node Classification
CPT: Competence-progressive Training Strategy for Few-shot Node Classification
Qilong Yan
Yufeng Zhang
Jinghao Zhang
Jingpu Duan
Jian Yin
53
0
0
03 Jan 2025
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
Yahel Jacobs
Reut Dayan
Uri Shaham
52
0
0
03 Nov 2024
Learning to Model Graph Structural Information on MLPs via Graph
  Structure Self-Contrasting
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
Lirong Wu
Haitao Lin
Guojiang Zhao
Cheng Tan
Stan Z. Li
31
0
0
09 Sep 2024
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts
Jinluan Yang
Zhengyu Chen
Teng Xiao
Wenqiao Zhang
Yong Lin
Kun Kuang
53
1
0
18 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
42
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
43
2
0
03 Aug 2024
Scalable Graph Compressed Convolutions
Scalable Graph Compressed Convolutions
Junshu Sun
Chen Yang
Shuhui Wang
Qingming Huang
GNN
48
0
0
26 Jul 2024
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs
Amitoz Azad
Yuan Fang
45
1
0
01 Jul 2024
Towards Lightweight Graph Neural Network Search with Curriculum Graph
  Sparsification
Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
Beini Xie
Heng Chang
Ziwei Zhang
Zeyang Zhang
Simin Wu
Xin Wang
Yuan Meng
Wenwu Zhu
37
2
0
24 Jun 2024
Synergistic Deep Graph Clustering Network
Synergistic Deep Graph Clustering Network
Benyu Wu
Shifei Ding
Xiao Xu
Lili Guo
Ling Ding
Xindong Wu
36
0
0
22 Jun 2024
Graph Edge Representation via Tensor Product Graph Convolutional
  Representation
Graph Edge Representation via Tensor Product Graph Convolutional Representation
Bo Jiang
Sheng Ge
Ziyan Zhang
Beibei Wang
Jin Tang
Bin Luo
GNN
43
0
0
21 Jun 2024
POWN: Prototypical Open-World Node Classification
POWN: Prototypical Open-World Node Classification
Marcel Hoffmann
Lukas Galke
A. Scherp
34
0
0
14 Jun 2024
Explainable Graph Neural Networks Under Fire
Explainable Graph Neural Networks Under Fire
Zhong Li
Simon Geisler
Yuhang Wang
Stephan Günnemann
M. Leeuwen
AAML
43
0
0
10 Jun 2024
A Comprehensive Survey on Data Augmentation
A Comprehensive Survey on Data Augmentation
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
109
22
0
15 May 2024
Uncertainty for Active Learning on Graphs
Uncertainty for Active Learning on Graphs
Dominik Fuchsgruber
Tom Wollschlager
Bertrand Charpentier
Antonio Oroz
Stephan Günnemann
46
10
0
02 May 2024
Neighbour-level Message Interaction Encoding for Improved Representation
  Learning on Graphs
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs
Haimin Zhang
Min Xu
GNN
38
0
0
15 Apr 2024
Uncertainty in Graph Neural Networks: A Survey
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
48
8
0
11 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise,
  Privacy and OOD Challenges
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
Wei Ju
Siyu Yi
Yifan Wang
Zhiping Xiao
Zhengyan Mao
...
Senzhang Wang
Xinwang Liu
Xiao Luo
Philip S. Yu
Ming Zhang
AI4CE
36
36
0
07 Mar 2024
GraphEdit: Large Language Models for Graph Structure Learning
GraphEdit: Large Language Models for Graph Structure Learning
Zirui Guo
Lianghao Xia
Yanhua Yu
Yuling Wang
Zixuan Yang
Zhiyong Huang
Chao Huang
55
18
0
23 Feb 2024
PASCL: Supervised Contrastive Learning with Perturbative Augmentation
  for Particle Decay Reconstruction
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction
Junjian Lu
Siwei Liu
Dmitrii Kobylianski
Etienne Dreyer
Eilam Gross
Houcheng Su
32
3
0
18 Feb 2024
Binary structured physics-informed neural networks for solving equations
  with rapidly changing solutions
Binary structured physics-informed neural networks for solving equations with rapidly changing solutions
Yanzhi Liu
Ruifan Wu
Ying Jiang
PINN
26
2
0
23 Jan 2024
Truck Parking Usage Prediction with Decomposed Graph Neural Networks
Truck Parking Usage Prediction with Decomposed Graph Neural Networks
Rei Tamaru
Yang Cheng
Steven T. Parker
Ernie Perry
Bin Ran
S. Ahn
33
0
0
23 Jan 2024
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification
Yutong Xia
Runpeng Yu
Keli Zhang
Xavier Bresson
Xinchao Wang
Roger Zimmermann
39
4
0
18 Jan 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Federico Errica
Henrik Christiansen
Viktor Zaverkin
Takashi Maruyama
Mathias Niepert
Francesco Alesiani
60
7
0
27 Dec 2023
Combinatorial music generation model with song structure graph analysis
Combinatorial music generation model with song structure graph analysis
Seonghyeon Go
Kyogu Lee
30
2
0
24 Dec 2023
Robust Node Representation Learning via Graph Variational Diffusion
  Networks
Robust Node Representation Learning via Graph Variational Diffusion Networks
Jun Zhuang
M. A. Hasan
21
7
0
18 Dec 2023
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for
  Over-smoothness in Deep GNNs
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs
Jin Li
Qirong Zhang
Shuling Xu
Xinlong Chen
Longkun Guo
Yanglan Fu
29
0
0
13 Dec 2023
Exploring Graph Classification Techniques Under Low Data Constraints: A
  Comprehensive Study
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study
Kush Kothari
Bhavya Mehta
Reshmika Nambiar
S. Shrawne
24
0
0
21 Nov 2023
Distributed Constrained Combinatorial Optimization leveraging Hypergraph
  Neural Networks
Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks
Nasimeh Heydaribeni
Xinrui Zhan
Ruisi Zhang
Tina Eliassi-Rad
F. Koushanfar
AI4CE
35
8
0
15 Nov 2023
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet
  Augmentation
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation
Jialin Chen
Yuelin Wang
Cristian Bodnar
Rex Ying
Pietro Lio
Yu Guang Wang
32
10
0
09 Nov 2023
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs
  through Efficient Communication Channel
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
Xuan Li
Zhanke Zhou
Jiangchao Yao
Yu Rong
Lu Zhang
Bo Han
42
3
0
02 Nov 2023
From Molecules to Materials: Pre-training Large Generalizable Models for
  Atomic Property Prediction
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
Nima Shoghi
Adeesh Kolluru
John R. Kitchin
Zachary W. Ulissi
C. L. Zitnick
Brandon M. Wood
AI4CE
24
32
0
25 Oct 2023
Graph Convolutional Network with Connectivity Uncertainty for EEG-based
  Emotion Recognition
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition
Hongxiang Gao
Xiangyao Wang
Zhenghua Chen
Min-man Wu
Zhipeng Cai
Lulu Zhao
Jianqing Li
Chengyu Liu
38
9
0
22 Oct 2023
SGA: A Graph Augmentation Method for Signed Graph Neural Networks
SGA: A Graph Augmentation Method for Signed Graph Neural Networks
Zeyu Zhang
Shuyan Wan
Sijie Wang
Xianda Zheng
Xinrui Zhang
Kaiqi Zhao
Jiamou Liu
Dong Hao
16
1
0
15 Oct 2023
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
34
76
0
01 Oct 2023
From Cluster Assumption to Graph Convolution: Graph-based
  Semi-Supervised Learning Revisited
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
Zheng Wang
H. Ding
L. Pan
Jianhua Li
Zhiguo Gong
Philip S. Yu
GNN
31
5
0
24 Sep 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural
  Networks
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks
Andreas Roth
Thomas Liebig
49
12
0
31 Aug 2023
Low-bit Quantization for Deep Graph Neural Networks with
  Smoothness-aware Message Propagation
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation
Shuang Wang
B. Eravcı
Rustam Guliyev
Hakan Ferhatosmanoglu
GNN
MQ
27
6
0
29 Aug 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive
  field
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field
Kun Wang
Guohao Li
Shilong Wang
Guibin Zhang
Kaidi Wang
Yang You
Xiaojiang Peng
Keli Zhang
Yang Wang
37
8
0
19 Aug 2023
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