Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1907.10903
Cited By
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
25 July 2019
Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
Re-assign community
ArXiv
PDF
HTML
Papers citing
"DropEdge: Towards Deep Graph Convolutional Networks on Node Classification"
50 / 226 papers shown
Title
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
Zixu Wang
Bingbing Xu
Yige Yuan
Huawei Shen
Xueqi Cheng
34
0
0
07 May 2025
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
Jonathan Kouchly
Ben Finkelshtein
M. Bronstein
Ron Levie
39
0
0
25 Apr 2025
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
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
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
Jasraj Singh
Keyue Jiang
Brooks Paige
Laura Toni
70
1
0
11 Feb 2025
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
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
Aseem Baranwal
K. Fountoulakis
Aukosh Jagannath
81
11
0
10 Jan 2025
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
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
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
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
Jonas Linkerhagner
Cheng Shi
Ivan Dokmanić
42
0
0
13 Aug 2024
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
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
Amitoz Azad
Yuan Fang
45
1
0
01 Jul 2024
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
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
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
Marcel Hoffmann
Lukas Galke
A. Scherp
34
0
0
14 Jun 2024
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
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
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
Haimin Zhang
Min Xu
GNN
38
0
0
15 Apr 2024
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
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
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
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
Yanzhi Liu
Ruifan Wu
Ying Jiang
PINN
26
2
0
23 Jan 2024
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
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
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
Seonghyeon Go
Kyogu Lee
30
2
0
24 Dec 2023
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
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
Kush Kothari
Bhavya Mehta
Reshmika Nambiar
S. Shrawne
24
0
0
21 Nov 2023
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
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
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
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
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
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
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
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
Andreas Roth
Thomas Liebig
49
12
0
31 Aug 2023
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
Kun Wang
Guohao Li
Shilong Wang
Guibin Zhang
Kaidi Wang
Yang You
Xiaojiang Peng
Keli Zhang
Yang Wang
37
8
0
19 Aug 2023
1
2
3
4
5
Next