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DropEdge: Towards Deep Graph Convolutional Networks on Node
  Classification
v1v2v3v4 (latest)

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

International Conference on Learning Representations (ICLR), 2019
25 July 2019
Yu Rong
Wenbing Huang
Qifeng Bai
Junzhou Huang
ArXiv (abs)PDFHTMLGithub (472★)

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

50 / 651 papers shown
Title
Latent Conditional Diffusion-based Data Augmentation for Continuous-Time
  Dynamic Graph Model
Latent Conditional Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model
Yuxing Tian
Yiyan Qi
Aiwen Jiang
Qi Huang
Jian Guo
DiffM
177
1
0
11 Jul 2024
Leveraging Graph Structures to Detect Hallucinations in Large Language
  Models
Leveraging Graph Structures to Detect Hallucinations in Large Language Models
Noa Nonkes
Sergei Agaronian
Evangelos Kanoulas
Roxana Petcu
134
2
0
05 Jul 2024
Graph Pooling via Ricci Flow
Graph Pooling via Ricci Flow
Amy Feng
Melanie Weber
AI4CE
178
6
0
05 Jul 2024
Heterogeneous Hypergraph Embedding for Recommendation Systems
Heterogeneous Hypergraph Embedding for Recommendation Systems
Darnbi Sakong
Viet Hung Vu
T. T. Huynh
Phi Le Nguyen
Hongzhi Yin
Quoc Viet Hung Nguyen
Thanh Tam Nguyen
161
0
0
04 Jul 2024
Foundations and Frontiers of Graph Learning Theory
Foundations and Frontiers of Graph Learning Theory
Yu Huang
Min Zhou
Menglin Yang
Zhen Wang
Muhan Zhang
Jie Wang
Hong Xie
Hao Wang
Defu Lian
Enhong Chen
AI4CEGNN
335
5
0
03 Jul 2024
Counterfactual Data Augmentation with Denoising Diffusion for Graph
  Anomaly Detection
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection
Chunjing Xiao
Shikang Pang
Xovee Xu
Xuan Li
Goce Trajcevski
Fan Zhou
DiffM
181
12
0
02 Jul 2024
Core Knowledge Learning Framework for Graph Adaptation and Scalability
  Learning
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning
Bowen Zhang
Zhichao Huang
Genan Dai
Guangning Xu
Xiaomao Fan
Hu Huang
147
0
0
02 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
253
1
0
01 Jul 2024
Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System
Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System
Xin Yang
Heng Chang
Zhijian Lai
Jinze Yang
Xingrun Li
Yu Lu
Shuaiqiang Wang
D. Yin
Erxue Min
185
2
0
25 Jun 2024
Inference of Sequential Patterns for Neural Message Passing in Temporal
  Graphs
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs
J. V. Pichowski
Vincenzo Perri
Lisi Qarkaxhija
Ingo Scholtes
174
0
0
24 Jun 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
210
8
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
138
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
212
0
0
21 Jun 2024
Demystifying Higher-Order Graph Neural Networks
Demystifying Higher-Order Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Maciej Besta
Florian Scheidl
Lukas Gianinazzi
Grzegorz Kwa'sniewski
S. Klaiman
Jürgen Müller
Torsten Hoefler
306
5
0
18 Jun 2024
Scalable Expressiveness through Preprocessed Graph Perturbations
Scalable Expressiveness through Preprocessed Graph Perturbations
Danial Saber
Amirali Salehi-Abari
205
3
0
17 Jun 2024
Global-Local Graph Neural Networks for Node-Classification
Global-Local Graph Neural Networks for Node-Classification
Moshe Eliasof
Eran Treister
335
6
0
16 Jun 2024
POWN: Prototypical Open-World Node Classification
POWN: Prototypical Open-World Node Classification
Marcel Hoffmann
Lukas Galke
A. Scherp
219
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
203
3
0
10 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural
  Networks
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2024
Dongrui Fan
Xiaoyang Lin
Renchi Yang
Hongtao Wang
357
7
0
08 Jun 2024
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning
  Subgraph Training
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training
Xizhi Gu
Hongzheng Li
Shihong Gao
Xinyan Zhang
Lei Chen
Yingxia Shao
GNN
157
1
0
07 Jun 2024
MultiMax: Sparse and Multi-Modal Attention Learning
MultiMax: Sparse and Multi-Modal Attention Learning
Yuxuan Zhou
Mario Fritz
Margret Keuper
369
1
0
03 Jun 2024
IENE: Identifying and Extrapolating the Node Environment for
  Out-of-Distribution Generalization on Graphs
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs
Haoran Yang
Xiaobing Pei
Kai Yuan
226
0
0
02 Jun 2024
GATE: How to Keep Out Intrusive Neighbors
GATE: How to Keep Out Intrusive Neighbors
Nimrah Mustafa
R. Burkholz
372
2
0
01 Jun 2024
FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout
  Method on GNNs
FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout Method on GNNs
Zhiheng Zhou
Sihao Liu
Weichen Zhao
150
1
0
30 May 2024
Do spectral cues matter in contrast-based graph self-supervised
  learning?
Do spectral cues matter in contrast-based graph self-supervised learning?
Xiangru Jian
Xinjian Zhao
Wei Pang
Chaolong Ying
Yimu Wang
Yaoyao Xu
Tianshu Yu
SSL
116
1
0
30 May 2024
SmoothGNN: Smoothing-based GNN for Unsupervised Node Anomaly Detection
SmoothGNN: Smoothing-based GNN for Unsupervised Node Anomaly Detection
Xiangyu Dong
Xing Zhang
Yanni Sun
Lei Chen
Mingxuan Yuan
Sibo Wang
176
1
0
27 May 2024
Towards Graph Contrastive Learning: A Survey and Beyond
Towards Graph Contrastive Learning: A Survey and Beyond
Wei Ju
Yifan Wang
Yifang Qin
Zhengyan Mao
Zhiping Xiao
...
Dongjie Wang
Qingqing Long
Siyu Yi
Xiao Luo
Ming Zhang
284
43
0
20 May 2024
A Comprehensive Survey on Data Augmentation
A Comprehensive Survey on Data AugmentationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
469
63
0
15 May 2024
Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks
Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks
QingGuo Qi
Hongyang Chen
Minhao Cheng
Han Liu
162
0
0
11 May 2024
Exploring Correlations of Self-Supervised Tasks for Graphs
Exploring Correlations of Self-Supervised Tasks for Graphs
Taoran Fang
Wei Zhou
Yifei Sun
Kaiqiao Han
Lvbin Ma
Yang Yang
340
8
0
07 May 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
Shenghe Zheng
Hongzhi Wang
Xianglong Liu
192
6
0
02 May 2024
Uncertainty for Active Learning on Graphs
Uncertainty for Active Learning on Graphs
Dominik Fuchsgruber
Tom Wollschlager
Bertrand Charpentier
Antonio Oroz
Stephan Günnemann
524
16
0
02 May 2024
Oversmoothing Alleviation in Graph Neural Networks: A Survey and Unified View
Oversmoothing Alleviation in Graph Neural Networks: A Survey and Unified View
Yufei Jin
Xingquan Zhu
229
2
0
02 May 2024
Training-free Graph Neural Networks and the Power of Labels as Features
Training-free Graph Neural Networks and the Power of Labels as Features
Ryoma Sato
248
5
0
30 Apr 2024
Feature graph construction with static features for malware detection
Feature graph construction with static features for malware detection
Binghui Zou
Chunjie Cao
Longjuan Wang
Yinan Cheng
Jingzhang Sun
117
2
0
25 Apr 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks
GRANOLA: Adaptive Normalization for Graph Neural Networks
Moshe Eliasof
Beatrice Bevilacqua
Carola-Bibiane Schönlieb
Haggai Maron
215
6
0
20 Apr 2024
Improving the interpretability of GNN predictions through
  conformal-based graph sparsification
Improving the interpretability of GNN predictions through conformal-based graph sparsification
Pablo Sánchez-Martín
Kinaan Aamir Khan
Isabel Valera
201
5
0
18 Apr 2024
CORE: Data Augmentation for Link Prediction via Information Bottleneck
CORE: Data Augmentation for Link Prediction via Information Bottleneck
Kaiwen Dong
Zhichun Guo
Nitesh Chawla
115
0
0
17 Apr 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
167
0
0
15 Apr 2024
Characterizing the Influence of Topology on Graph Learning Tasks
Characterizing the Influence of Topology on Graph Learning Tasks
Kailong Wu
Yule Xie
Jiaxin Ding
Yuxiang Ren
Luoyi Fu
Xinbing Wang
Cheng Zhou
163
0
0
11 Apr 2024
Temporal Generalization Estimation in Evolving Graphs
Temporal Generalization Estimation in Evolving Graphs
Bin Lu
Tingyan Ma
Xiaoying Gan
Xinbing Wang
Yunqiang Zhu
Cheng Zhou
Shiyu Liang
153
3
0
07 Apr 2024
MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs
  Embedding
MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs Embedding
Marco Bongiovanni
Luca Gallo
Roberto Grasso
Alfredo Pulvirenti
GNN
117
0
0
28 Mar 2024
Node Classification via Semantic-Structural Attention-Enhanced Graph
  Convolutional Networks
Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networks
Hongyin Zhu
GNN
126
0
0
24 Mar 2024
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
Ningyi Liao
Zihao Yu
Ruixiao Zeng
Siqiang Luo
GNN
168
0
0
20 Mar 2024
Diffusion-Based Environment-Aware Trajectory Prediction
Diffusion-Based Environment-Aware Trajectory Prediction
Theodor Westny
Björn Olofsson
Erik Frisk
198
16
0
18 Mar 2024
Layer-diverse Negative Sampling for Graph Neural Networks
Layer-diverse Negative Sampling for Graph Neural Networks
Wei Duan
Jie Lu
Yu Guang Wang
Junyu Xuan
159
13
0
18 Mar 2024
Edge Private Graph Neural Networks with Singular Value Perturbation
Edge Private Graph Neural Networks with Singular Value Perturbation
Tingting Tang
Yue Niu
A. Avestimehr
Murali Annavaram
AAML
169
3
0
16 Mar 2024
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Zhaoliang Chen
Zhihao Wu
Ylli Sadikaj
Claudia Plant
Hong-Ning Dai
Shiping Wang
Wenzhong Guo
AAML
201
3
0
14 Mar 2024
Mitigating Oversmoothing Through Reverse Process of GNNs for
  Heterophilic Graphs
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic GraphsInternational Conference on Machine Learning (ICML), 2024
M. Park
Jaeseung Heo
Dongwoo Kim
164
5
0
11 Mar 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
403
18
0
11 Mar 2024
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