Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,391 papers shown

Title
Frameless Graph Knowledge Distillation Dai Shi Zhiqi Shao Yi Guo Junbin Gao 39 4 0 13 Jul 2023
Deep learning for dynamic graphs: models and benchmarks Alessio Gravina D. Bacciu GNN AI4CE 45 11 0 12 Jul 2023
Robust Graph Structure Learning with the Alignment of Features and Adjacency Matrix Shaogao Lv Gang Wen Shiyu Liu Linsen Wei Ming Li 31 3 0 05 Jul 2023
Graph Contrastive Topic Model Zheheng Luo Lei Liu Qianqian Xie Sophia Ananiadou 21 2 0 05 Jul 2023
Muti-scale Graph Neural Network with Signed-attention for Social Bot Detection: A Frequency Perspective S. Shi Kai Qiao Zhengyan Wang J. Yang Baojie Song Jian Chen Binghai Yan 36 3 0 05 Jul 2023
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting Zhenwei Zhang Linghang Meng Yuantao Gu AI4TS 32 14 0 04 Jul 2023
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning Yucheng Shi Kaixiong Zhou Ninghao Liu 39 11 0 03 Jul 2023
MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval Qiao Jin Won Kim Qingyu Chen Donald C. Comeau Lana Yeganova John Wilbur Zhiyong Lu LM&MA MedIm 25 101 0 02 Jul 2023
Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge Distillation Kaituo Feng Yikun Miao Changsheng Li Ye Yuan Guoren Wang 42 0 0 02 Jul 2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization Ling Yang Jiayi Zheng Heyuan Wang Zhongyi Liu Zhilin Huang Shenda Hong Wentao Zhang Bin Cui 34 13 0 28 Jun 2023
Contrastive Meta-Learning for Few-shot Node Classification Song Wang Zhen Tan Huan Liu Jundong Li 36 15 0 27 Jun 2023
GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily Shuaicheng Zhang Haohui Wang Si Zhang Dawei Zhou 29 2 0 25 Jun 2023
Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices Weichen Zhao Federico López J. M. Riestenberg Michael Strube Diaaeldin Taha Steve J. Trettel 37 7 0 24 Jun 2023
Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective Wei Huang Yuanbin Cao Hong Wang Xin Cao Taiji Suzuki MLT 40 7 0 24 Jun 2023
Torsion Graph Neural Networks Cong Shen Xiang Liu Jiawei Luo Kelin Xia 39 0 0 23 Jun 2023
PathMLP: Smooth Path Towards High-order Homophily Chenxuan Xie Jiajun Zhou Sheng Gong Jiacheng Wan Jiaxu Qian Shanqing Yu Qi Xuan Xiaoniu Yang 29 6 0 23 Jun 2023
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling Chuang Liu Yibing Zhan Baosheng Yu Liu Liu Bo Du Wenbin Hu Tongliang Liu 35 11 0 22 Jun 2023
On Addressing the Limitations of Graph Neural Networks Sitao Luan GNN 21 5 0 22 Jun 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection Jianheng Tang Fengrui Hua Zi-Chao Gao P. Zhao Jia Li 27 55 0 21 Jun 2023
Spatial Heterophily Aware Graph Neural Networks Congxi Xiao Jingbo Zhou Jizhou Huang Tong Xu Hui Xiong 33 5 0 21 Jun 2023
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching D. M. Nguyen Hoang Nguyen Nghiem Tuong Diep Tan Ngoc Pham T. Cao ... Nhat Ho Shadi Albarqouni P. Xie Daniel Sonntag Mathias Niepert VLM MedIm 36 48 0 20 Jun 2023
CAT-Walk: Inductive Hypergraph Learning via Set Walks Ali Behrouz Farnoosh Hashemi Sadaf Sadeghian Margo Seltzer 49 16 0 19 Jun 2023
Graph Self-Supervised Learning for Endoscopic Image Matching Manel Farhat A. Ben-Hamadou SSL 26 1 0 19 Jun 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations Qitian Wu Wen-Long Zhao Chenxiao Yang Hengrui Zhang Fan Nie Haitian Jiang Yatao Bian Junchi Yan AI4CE 48 78 0 19 Jun 2023
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation Shuang Zhou Xiao Shi Huang Ninghao Liu Huachi Zhou F. Chung Longhai Huang 47 23 0 18 Jun 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication A. Jaiswal Shiwei Liu Tianlong Chen Ying Ding Zhangyang Wang GNN 44 5 0 18 Jun 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 36 23 0 16 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
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs N. Lell A. Scherp 46 1 0 15 Jun 2023
Hyperbolic Representation Learning: Revisiting and Advancing Menglin Yang Min Zhou Rex Ying Yankai Chen Irwin King 42 20 0 15 Jun 2023
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy Enyan Dai Limeng Cui Zhengyang Wang Xianfeng Tang Yinghan Wang Mo Cheng Bin Yin Suhang Wang AAML 27 14 0 14 Jun 2023
Self-supervised Learning and Graph Classification under Heterophily Y. Ding Zichen Liu Hao Hao SSL 22 1 0 14 Jun 2023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Qitian Wu Wentao Zhao Zenan Li David Wipf Junchi Yan 27 210 0 14 Jun 2023
A Simple and Scalable Graph Neural Network for Large Directed Graphs Seiji Maekawa Yuya Sasaki Makoto Onizuka GNN 32 0 0 14 Jun 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs Y. Zheng He Zhang V. Lee Yu Zheng Tianlin Li Shirui Pan 44 33 0 13 Jun 2023
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics Anwar Said Roza G. Bayrak Tyler Derr Mudassir Shabbir Daniel Moyer Catie Chang X. Koutsoukos 22 25 0 09 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
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness Jianpeng Liao Jun Yan Qian Tao 19 1 0 07 Jun 2023
BeMap: Balanced Message Passing for Fair Graph Neural Network Xiao Lin Jian Kang Weilin Cong Hanghang Tong MoE 42 7 0 07 Jun 2023
Personalized Federated Domain Adaptation for Item-to-Item Recommendation Ziwei Fan Hao Ding Anoop Deoras T. Hoang 38 6 0 05 Jun 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data Xin Zheng Miao Zhang C. Chen Quoc Viet Hung Nguyen Xingquan Zhu Shirui Pan DD 44 60 0 05 Jun 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies Soo Yong Lee Fanchen Bu Jaemin Yoo Kijung Shin GNN 24 30 0 04 Jun 2023
A Survey on Explainability of Graph Neural Networks Jaykumar Kakkad Jaspal Jannu Kartik Sharma Charu C. Aggarwal Sourav Medya 30 24 0 02 Jun 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? Haitao Mao Zhikai Chen Wei Jin Haoyu Han Yao Ma Tong Zhao Neil Shah Jiliang Tang 41 33 0 02 Jun 2023
Is Rewiring Actually Helpful in Graph Neural Networks? Domenico Tortorella Alessio Micheli AI4CE 46 2 0 31 May 2023
SPGNN-API: A Transferable Graph Neural Network for Attack Paths Identification and Autonomous Mitigation Houssem Jmal Firas Hmida Nardine Basta Muhammad Ikram M. Kâafar Andy Walker AAML 26 1 0 31 May 2023
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks Qiyu Kang Kai Zhao Yang Song Sijie Wang Wee Peng Tay 32 12 0 30 May 2023
Learning Strong Graph Neural Networks with Weak Information Yixin Liu Kaize Ding Jianling Wang V. Lee Huan Liu Shirui Pan 28 41 0 29 May 2023
Dink-Net: Neural Clustering on Large Graphs Yue Liu K. Liang Jun Xia Sihang Zhou Xihong Yang Xinwang Liu Stan Z. Li GNN 38 54 0 28 May 2023
Self-attention Dual Embedding for Graphs with Heterophily Yurui Lai Taiyan Zhang Rui Fan GNN 48 0 0 28 May 2023