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Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,418 papers shown

Title
Interactive Graph Convolutional Filtering Jin Zhang Defu Lian Hong Xie Yawen Li Enhong Chen 65 0 0 04 Sep 2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs Dong Li Wenjun Wang Minglai Shao Chen Zhao SSL 67 3 0 31 Aug 2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search Yuya Sasaki 79 0 0 30 Aug 2023
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems Peiyan Zhang Yuchen Yan Xi Zhang Chaozhuo Li Senzhang Wang Feiran Huang Sunghun Kim 79 21 0 28 Aug 2023
Class-Imbalanced Graph Learning without Class Rebalancing Zhining Liu Ruizhong Qiu Zhichen Zeng Hyunsik Yoo David Zhou Zhe Xu Yada Zhu Kommy Weldemariam Jingrui He Hanghang Tong AI4CE 82 12 0 27 Aug 2023
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection Mahmoud Nazzal Issa M. Khalil Abdallah Khreishah Nhathai Phan Yao Ma AAML 84 2 0 22 Aug 2023
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding Yuan Luo Hongkang Li Lei Shi Xiao-Ming Wu 76 8 0 22 Aug 2023
Graph Neural Bandits Yunzhe Qi Yikun Ban Jingrui He 73 21 0 21 Aug 2023
Label-based Graph Augmentation with Metapath for Graph Anomaly Detection Hwan Kim Junghoon Kim Byung Suk Lee Sungsu Lim 51 0 0 21 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 Yuxuan Liang Yang Wang 68 9 0 19 Aug 2023
Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models Dohwan Ko Ji Soo Lee M. Choi Jaewon Chu Jihwan Park Hyunwoo J. Kim 55 6 0 18 Aug 2023
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective Guanghui Zhu Meng Chen Chun Yuan Jiaming Ji AAML 69 7 0 15 Aug 2023
Language is All a Graph Needs Ruosong Ye Caiqi Zhang Runhui Wang Shuyuan Xu Yongfeng Zhang AI4CE 164 170 0 14 Aug 2023
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment Wentao Ning Xiao Yan Weiwen Liu R. Cheng Rui Zhang Bo Tang 98 21 0 10 Aug 2023
Homophily-enhanced Structure Learning for Graph Clustering Ming Gu Gaoming Yang Sheng Zhou Ning Ma Jiawei Chen Qiaoyu Tan Meihan Liu Jiajun Bu 73 13 0 10 Aug 2023
Cross-heterogeneity Graph Few-shot Learning Pengfei Ding Yan Wang Guanfeng Liu 59 3 0 10 Aug 2023
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness Shide Du Zihan Fang Shiyang Lan Yanchao Tan Manuel Günther Shiping Wang Wenzhong Guo 68 5 0 07 Aug 2023
Local Structure-aware Graph Contrastive Representation Learning Kai Yang Yuan Liu Zijuan Zhao P. Ding Wen-feng Zhao 79 4 0 07 Aug 2023
Exploiting On-chip Heterogeneity of Versal Architecture for GNN Inference Acceleration Paul Chen Pavan Manjunath Sasindu Wijeratne Bingyi Zhang Viktor Prasanna GNN 91 8 0 04 Aug 2023
Global Hierarchical Neural Networks using Hierarchical Softmax Jetze T. Schuurmans Flavius Frasincar 42 1 0 02 Aug 2023
TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification Haozhen Zhang Le Yu Xi Xiao Qing Li F. Mercaldo Xiapu Luo Qixu Liu 80 54 0 31 Jul 2023
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs Mengyi Yuan Minjie Chen Xiangci Li SSL 80 9 0 29 Jul 2023
Graph Condensation for Inductive Node Representation Learning Xin Gao Tong Chen Yilong Zang Wentao Zhang Quoc Viet Hung Nguyen Kai Zheng Hongzhi Yin DD AI4CE 105 38 0 29 Jul 2023
Collaborative Graph Neural Networks for Attributed Network Embedding Qiaoyu Tan Xin Zhang Xiao Shi Huang Haojun Chen Jundong Li Helen Zhou 146 12 0 22 Jul 2023
Multi-representations Space Separation based Graph-level Anomaly-aware Detection Fu Lin Haonan Gong Mingkang Li Zitong Wang Yue Zhang Xuexiong Luo 48 2 0 22 Jul 2023
Recognizing Unseen States of Unknown Objects by Leveraging Knowledge Graphs Filipos Gouidis K. Papoutsakis Theodore Patkos Antonis Argyros Dimitris Plexousakis 63 1 0 22 Jul 2023
Examining the Effects of Degree Distribution and Homophily in Graph Learning Models Mustafa Yasir John Palowitch Anton Tsitsulin Long Tran-Thanh Bryan Perozzi 54 6 0 17 Jul 2023
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection Yu Zheng Huan Yee Koh Ming Jin Lianhua Chi Khoa T. Phan Shirui Pan Yi-Ping Phoebe Chen Wei Xiang AI4TS 101 30 0 17 Jul 2023
Automated Polynomial Filter Learning for Graph Neural Networks Wendi Yu Zhichao Hou Xiaorui Liu 85 0 0 16 Jul 2023
Frameless Graph Knowledge Distillation Dai Shi Zhiqi Shao Yi Guo Junbin Gao 69 4 0 13 Jul 2023
Deep learning for dynamic graphs: models and benchmarks Alessio Gravina D. Bacciu GNN AI4CE 91 15 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 61 3 0 05 Jul 2023
Graph Contrastive Topic Model Zheheng Luo Lei Liu Qianqian Xie Sophia Ananiadou 63 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 74 3 0 05 Jul 2023
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting Zhenwei Zhang Linghang Meng Yuantao Gu AI4TS 62 18 0 04 Jul 2023
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning Yucheng Shi Kaixiong Zhou Ninghao Liu 94 12 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 89 117 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 121 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 Tengjiao Wang 100 16 0 28 Jun 2023
Contrastive Meta-Learning for Few-shot Node Classification Song Wang Zhen Tan Huan Liu Jundong Li 65 17 0 27 Jun 2023
GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily Shuaicheng Zhang Haohui Wang Si Zhang Dawei Zhou 70 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 82 7 0 24 Jun 2023
Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons Wei Huang Yuanbin Cao Hong Wang Xin Cao Taiji Suzuki MLT 86 8 0 24 Jun 2023
Torsion Graph Neural Networks Cong Shen Xiang Liu Jiawei Luo Kelin Xia 71 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 61 7 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 103 12 0 22 Jun 2023
On Addressing the Limitations of Graph Neural Networks Sitao Luan GNN 82 5 0 22 Jun 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection Jianheng Tang Fengrui Hua Zi-Chao Gao P. Zhao Jia Li 105 65 0 21 Jun 2023
Spatial Heterophily Aware Graph Neural Networks Congxi Xiao Jingbo Zhou Jizhou Huang Tong Xu Hui Xiong 103 9 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 142 55 0 20 Jun 2023