Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,390 papers shown

Title
A survey of dynamic graph neural networks Yanping Zheng Lu Yi Zhewei Wei AI4TS AI4CE 27 7 0 28 Apr 2024
Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering H. Jung Hyunsoo Cho Myungje Choi Joowon Lee Jung Ho Park Myungjoo Kang 34 0 0 23 Apr 2024
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data Zhenzhong Wang Qingyuan Zeng Wanyu Lin Min Jiang Kay Chen Tan SSL 34 2 0 19 Apr 2024
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems Shuo Liu Junhao Shen Hong Qian Aimin Zhou AI4Ed 16 22 0 17 Apr 2024
You do not have to train Graph Neural Networks at all on text-attributed graphs Kaiwen Dong Zhichun Guo Nitesh V. Chawla 37 1 0 17 Apr 2024
Relational Graph Convolutional Networks for Sentiment Analysis Asal Khosravi Zahed Rahmati Ali Vefghi GNN 11 1 0 16 Apr 2024
HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representation Zhiwei Hu Víctor Gutiérrez-Basulto Zhiliang Xiang Ru Li Jeff Z. Pan 33 0 0 15 Apr 2024
Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory Graph Modeling and Representation Learning Ming Cheng Ziyi Zhou Bowen Zhang Ziyu Wang Jiaqi Gan Ziang Ren Weiqi Feng Yi Lyu Hefan Zhang Xingjian Diao 33 7 0 15 Apr 2024
Characterizing the Influence of Topology on Graph Learning Tasks Kailong Wu Yule Xie Jiaxin Ding Yuxiang Ren Luoyi Fu Xinbing Wang Cheng Zhou 34 0 0 11 Apr 2024
Spectral GNN via Two-dimensional (2-D) Graph Convolution Guoming Li Jian Yang Shangsong Liang Dongsheng Luo GNN 44 2 0 06 Apr 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks Arjun Subramonian Jian Kang Yizhou Sun AI4CE 34 4 0 04 Apr 2024
First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models Yifan Qu Oliver A. Krzysik H. Sterck Omer Ege Kara AI4CE 30 0 0 03 Apr 2024
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU Zhongming Yu Genghan Zhang Hanxian Huang Xin Chen Jishen Zhao GNN 29 0 0 03 Apr 2024
CATGNN: Cost-Efficient and Scalable Distributed Training for Graph Neural Networks Xin Huang Weipeng Zhuo Minh Phu Vuong Shiju Li Jongryool Kim Bradley Rees Chul-Ho Lee GNN 27 0 0 02 Apr 2024
Continuous Spiking Graph Neural Networks Nan Yin Mengzhu Wang Li Shen Hitesh Laxmichand Patel Baopu Li Bin Gu Huan Xiong GNN 36 10 0 02 Apr 2024
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection Namyong Park Ryan Rossi Xing Wang Antoine Simoulin Nesreen K. Ahmed Christos Faloutsos VLM 54 2 0 02 Apr 2024
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide Sunwoo Kim Soo Yong Lee Yue Gao Alessia Antelmi Mirko Polato Kijung Shin GNN AI4TS 31 19 0 01 Apr 2024
Graph Neural Aggregation-diffusion with Metastability Kaiyuan Cui Xinyan Wang Zicheng Zhang Weichen Zhao 39 2 0 29 Mar 2024
Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network Yilun Zheng Jiahao Xu Lihui Chen 45 2 0 26 Mar 2024
Manufacturing Service Capability Prediction with Graph Neural Networks Yunqing Li Xiaorui Liu B. Starly 29 5 0 25 Mar 2024
Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networks Hongyin Zhu GNN 38 0 0 24 Mar 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections Dongqi Fu Zhigang Hua Yan Xie Jin Fang Si Zhang Kaan Sancak Hao Wu Andrey Malevich Jingrui He Bo Long 42 19 0 24 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 49 0 0 23 Mar 2024
Simple Graph Condensation Zhenbang Xiao Yu Wang Shunyu Liu Huiqiong Wang Mingli Song Tongya Zheng DD 69 6 0 22 Mar 2024
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks Zhaoliang Chen Zhihao Wu Ylli Sadikaj Claudia Plant Hong-Ning Dai Shiping Wang Wenzhong Guo AAML 40 0 0 14 Mar 2024
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation Yuting Liu Yizhou Dang Yuliang Liang Qiang Liu Guibing Guo Jianzhe Zhao Xingwei Wang 36 2 0 13 Mar 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach Keke Huang Wencai Cao Hoang Ta Xiaokui Xiao Pietro Lió 54 3 0 12 Mar 2024
Graph Data Condensation via Self-expressive Graph Structure Reconstruction Zhanyu Liu Chaolv Zeng Guanjie Zheng DD 64 11 0 12 Mar 2024
An Efficient Learning-based Solver Comparable to Metaheuristics for the Capacitated Arc Routing Problem Runze Guo Feng Xue Anlong Ming N. Sebe 37 0 0 11 Mar 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack Xin Liu Yuxiang Zhang Meng Wu Yurui Lai Kun He Wei Yan Shirui Pan Xiaochun Ye Xiaochun Ye AAML 28 2 0 10 Mar 2024
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks Lisa Schneckenreiter Richard Freinschlag Florian Sestak Johannes Brandstetter G. Klambauer Andreas Mayr 43 5 0 07 Mar 2024
Minimum Topology Attacks for Graph Neural Networks Mengmei Zhang Tianlin Li Chuan Shi Lingjuan Lyu Tianchi Yang Junping Du AAML 38 7 0 05 Mar 2024
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation Zhen Zhang Meihan Liu Anhui Wang Hongyang Chen Zhao Li Jiajun Bu Bingsheng He TTA 33 10 0 03 Mar 2024
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework Junxian Li Bin Shi Erfei Cui Hua Wei Qinghua Zheng 49 0 0 02 Mar 2024
Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks Zhen Hao Wong Hansi Yang Xiaoyi Fu Quanming Yao 37 1 0 29 Feb 2024
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining Fanjin Zhang Shijie Shi Yifan Zhu Bo Chen Yukuo Cen ... Huihui Yuan Jian Song Xiaoyan Li Yuxiao Dong Jie Tang 42 16 0 24 Feb 2024
Linear-Time Graph Neural Networks for Scalable Recommendations Jiahao Zhang Rui Xue Wenqi Fan Xin Xu Qing Li Jian Pei Xiaorui Liu AI4CE 40 24 0 21 Feb 2024
A unifying primary framework for quantum graph neural networks from quantum graph states Ammar Daskin GNN 38 1 0 20 Feb 2024
More Discriminative Sentence Embeddings via Semantic Graph Smoothing Chakib Fettal Lazhar Labiod M. Nadif 31 1 0 20 Feb 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs Shuhan Liu Kaize Ding OOD 29 5 0 17 Feb 2024
Subgraph-level Universal Prompt Tuning Junhyun Lee Wooseong Yang Jaewoo Kang VLM 34 5 0 16 Feb 2024
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph Linfeng Cao Haoran Deng Yang Yang Chunping Wang Lei Chen 31 9 0 14 Feb 2024
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 24 2 0 14 Feb 2024
Graph Inference Acceleration by Learning MLPs on Graphs without Supervision Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 29 0 0 14 Feb 2024
Disambiguated Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang AI4CE 32 2 0 13 Feb 2024
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective Kai Guo Hongzhi Wen Wei Jin Yaming Guo Jiliang Tang Yi Chang OOD AI4CE 19 3 0 13 Feb 2024
LLaGA: Large Language and Graph Assistant Runjin Chen Tong Zhao Ajay Jaiswal Neil Shah Zhangyang Wang 23 54 0 13 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 47 5 0 09 Feb 2024
Rethinking Node-wise Propagation for Large-scale Graph Learning Xunkai Li Jingyuan Ma Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 36 11 0 09 Feb 2024
Large Language Model Meets Graph Neural Network in Knowledge Distillation Shengxiang Hu Guobing Zou Song Yang Yanglan Gan Bofeng Zhang Yixin Chen 51 7 0 08 Feb 2024