Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,391 papers shown

Title
Technical Report of 2023 ABO Fine-grained Semantic Segmentation Competition Zeyu Dong 3DPC 19 0 0 30 Sep 2023
On the Equivalence of Graph Convolution and Mixup Xiaotian Han Hanqing Zeng Yu Chen Shaoliang Nie Jingzhou Liu ... Karthik Abinav Sankararaman Song Jiang Madian Khabsa Qifan Wang Xia Hu 57 0 0 29 Sep 2023
Sharp Generalization of Transductive Learning: A Transductive Local Rademacher Complexity Approach Yingzhen Yang 29 4 0 28 Sep 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 54 3 0 27 Sep 2023
Neuromorphic Imaging and Classification with Graph Learning Pei Zhang Chutian Wang Edmund Y. Lam GNN 20 9 0 27 Sep 2023
GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network Kaiyuan Zhang Ziyi Ye Qingyao Ai Xiaohui Xie Y. Liu 49 1 0 27 Sep 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias Zhihao Shi Jie Wang Fanghua Lu Hanzhu Chen Defu Lian Zheng Wang Jieping Ye Feng Wu AI4CE 32 6 0 26 Sep 2023
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels Jingyang Yuan Xiao Luo Yifang Qin Zhengyan Mao Wei Ju Ming Zhang AAML 43 18 0 26 Sep 2023
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information Wenzhuo Zhou Annie Qu Keiland W Cooper Norbert Fortin Babak Shahbaba 42 1 0 23 Sep 2023
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes Yiming Huang Yujie Zeng Qiang Wu Linyuan Lu 27 18 0 22 Sep 2023
Article Classification with Graph Neural Networks and Multigraphs Khang Ly Yury Kashnitsky Savvas Chamezopoulos Valeria Krzhizhanovskaya 29 0 0 20 Sep 2023
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 39 19 0 20 Sep 2023
CaT: Balanced Continual Graph Learning with Graph Condensation Yilun Liu Ruihong Qiu Zi Huang DD 42 37 0 18 Sep 2023
TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis Xiangzhu Meng Wei Wei Qiang Liu Shu Wu Liang Wang 27 0 0 14 Sep 2023
UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs Yide Qiu Shaoxiang Ling Tong Zhang Bo Huang Zhen Cui 44 0 0 11 Sep 2023
Symplectic Structure-Aware Hamiltonian (Graph) Embeddings Jiaxu Liu Xinping Yi Tianle Zhang Xiaowei Huang 13 0 0 09 Sep 2023
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning Sungjun Cho Seunghyuk Cho Sungwoo Park Hankook Lee Ho Hin Lee Moontae Lee 42 6 0 08 Sep 2023
Promoting Fairness in GNNs: A Characterization of Stability Yaning Jia Chunhui Zhang AAML 20 0 0 07 Sep 2023
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks Fahao Chen Peng Li Celimuge Wu GNN 29 3 0 07 Sep 2023
ViCGCN: Graph Convolutional Network with Contextualized Language Models for Social Media Mining in Vietnamese Chau-Thang Phan Quoc-Nam Nguyen Chi-Thanh Dang Trong-Hop Do Kiet Van Nguyen GNN 19 1 0 06 Sep 2023
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond Zhiqi Shao Dai Shi Andi Han Yi Guo Qianchuan Zhao Junbin Gao 38 12 0 06 Sep 2023
Interactive Graph Convolutional Filtering Jin Zhang Defu Lian Hong Xie Yawen Li Enhong Chen 29 0 0 04 Sep 2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs Dong Li Wenjun Wang Minglai Shao Chen Zhao SSL 30 2 0 31 Aug 2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search Yuya Sasaki 40 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 36 15 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 36 9 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 28 1 0 22 Aug 2023
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding Yuan Luo Hongkang Li Lei Shi Xiao-Ming Wu 35 7 0 22 Aug 2023
Graph Neural Bandits Yunzhe Qi Yikun Ban Jingrui He 36 19 0 21 Aug 2023
Label-based Graph Augmentation with Metapath for Graph Anomaly Detection Hwan Kim Junghoon Kim Byung Suk Lee Sungsu Lim 32 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 Keli Zhang Yang Wang 42 8 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 22 5 0 18 Aug 2023
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective Guanghui Zhu Meng Chen Chun Yuan Jiaming Ji AAML 26 6 0 15 Aug 2023
Language is All a Graph Needs Ruosong Ye Caiqi Zhang Runhui Wang Shuyuan Xu Yongfeng Zhang AI4CE 63 151 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 45 19 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 32 12 0 10 Aug 2023
Cross-heterogeneity Graph Few-shot Learning Pengfei Ding Yan Wang Guanfeng Liu 30 2 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 28 3 0 07 Aug 2023
Local Structure-aware Graph Contrastive Representation Learning Kai Yang Yuan Liu Zijuan Zhao P. Ding Wen-feng Zhao 33 3 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 21 8 0 04 Aug 2023
Global Hierarchical Neural Networks using Hierarchical Softmax Jetze T. Schuurmans Flavius Frasincar 13 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 24 50 0 31 Jul 2023
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs Mengyi Yuan Minjie Chen Xiangci Li SSL 39 8 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 39 33 0 29 Jul 2023
Leveraging Knowledge Graphs for Zero-Shot Object-agnostic State Classification Filipos Gouidis T. Patkos Antonis Argyros Dimitris Plexousakis 29 1 0 22 Jul 2023
Collaborative Graph Neural Networks for Attributed Network Embedding Qiaoyu Tan Xin Zhang Xiao Shi Huang Haojun Chen Jundong Li Xia Hu 41 11 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 43 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 18 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 26 25 0 17 Jul 2023
Automated Polynomial Filter Learning for Graph Neural Networks Wendi Yu Zhichao Hou Xiaorui Liu 24 0 0 16 Jul 2023