GraphSAINT: Graph Sampling Based Inductive Learning Method

10 July 2019

Papers citing "GraphSAINT: Graph Sampling Based Inductive Learning Method"

50 / 542 papers shown

Title
Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs Hang Cui Tarek F. Abdelzaher 23 0 0 12 Sep 2024
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization Xiaodong Yang Xiaoting Li Huiyuan Chen Yiwei Cai AAML 16 0 0 20 Aug 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier Lu Yi Zhewei Wei MU 48 0 0 17 Aug 2024
Non-convolutional Graph Neural Networks Yuanqing Wang N. Scherer-Negenborn GNN 16 3 0 31 Jul 2024
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs Huan-jing Zhao Beining Yang Yukuo Cen Junyu Ren Chenhui Zhang Yuxiao Dong Evgeny Kharlamov Shu Zhao Jie Tang VLM 45 6 0 22 Jul 2024
TorchGT: A Holistic System for Large-scale Graph Transformer Training Mengdie Zhang Jie Sun Qi Hu Peng Sun Zeke Wang Yonggang Wen Tianwei Zhang GNN 28 1 0 19 Jul 2024
GraphMuse: A Library for Symbolic Music Graph Processing E. Karystinaios Gerhard Widmer 27 1 0 17 Jul 2024
HyperAggregation: Aggregating over Graph Edges with Hypernetworks N. Lell A. Scherp GNN 35 0 0 16 Jul 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods Junhong Lin Xiaojie Guo Shuaicheng Zhang Dawei Zhou Yada Zhu Julian Shun 33 1 0 15 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks Yezi Liu Yanning Shen DD 25 4 0 10 Jul 2024
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 AI4CE GNN 43 2 0 03 Jul 2024
Backdoor Graph Condensation Jiahao Wu Ning Lu Zeiyu Dai Kun Wang Wenqi Fan Shengcai Liu Qing Li Ke Tang AAML DD 58 5 0 03 Jul 2024
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations Yuntao Shou Wei Ai JiaYi Du Tao Meng Haiyan Liu Nan Yin 35 16 0 27 Jun 2024
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks Yilun Zheng Sitao Luan Lihui Chen 35 5 0 27 Jun 2024
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights Shengbo Gong Juntong Ni Noveen Sachdeva Carl Yang Wei Jin DD 34 3 0 24 Jun 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding Tahseen Rabbani Bang An Evan Z Wang Furong Huang 23 20 0 21 Jun 2024
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks Yaochu Jin Xueming Yan Shiqing Liu Xiangyu Wang 37 3 0 19 Jun 2024
RobGC: Towards Robust Graph Condensation Xinyi Gao Hongzhi Yin Tong Chen Guanhua Ye Wentao Zhang Bin Cui AAML 48 3 0 19 Jun 2024
A data-centric approach for assessing progress of Graph Neural Networks Tianqi Zhao Ngan Thi Dong Alan Hanjalic Megha Khosla 16 0 0 18 Jun 2024
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting Yue Jiang Xiucheng Li Yile Chen Shuai Liu Weilong Kong Antonis F. Lentzakis Gao Cong AI4TS AI4CE 20 1 0 18 Jun 2024
A Scalable and Effective Alternative to Graph Transformers Kaan Sancak Zhigang Hua Jin Fang Yan Xie Andrey Malevich Bo Long M. F. Balin Ümit V. Çatalyürek 35 1 0 17 Jun 2024
Scalable Expressiveness through Preprocessed Graph Perturbations Danial Saber Amirali Salehi-Abari 16 1 0 17 Jun 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights Zhikai Chen Haitao Mao Jingzhe Liu Yu Song Bingheng Li ... Bahare Fatemi Anton Tsitsulin Bryan Perozzi Hui Liu Jiliang Tang 23 10 0 15 Jun 2024
POWN: Prototypical Open-World Node Classification Marcel Hoffmann Lukas Galke A. Scherp 16 0 0 14 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Yurui Lai Xiaoyang Lin Renchi Yang Hongtao Wang 31 2 0 08 Jun 2024
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training Xizhi Gu Hongzheng Li Shihong Gao Xinyan Zhang Lei Chen Yingxia Shao GNN 16 0 0 07 Jun 2024
AGALE: A Graph-Aware Continual Learning Evaluation Framework Tianqi Zhao Alan Hanjalic Megha Khosla 19 1 0 03 Jun 2024
Learning on Large Graphs using Intersecting Communities Ben Finkelshtein .Ismail .Ilkan Ceylan Michael M. Bronstein Ron Levie GNN 30 5 0 31 May 2024
Automatic Graph Topology-Aware Transformer Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Shuyuan Yang ViT 22 2 0 30 May 2024
Calibrated Dataset Condensation for Faster Hyperparameter Search Mucong Ding Yuancheng Xu Tahseen Rabbani Xiaoyu Liu Brian J Gravelle Teresa M. Ranadive Tai-Ching Tuan Furong Huang DD 19 0 0 27 May 2024
Spectral Greedy Coresets for Graph Neural Networks Mucong Ding Yinhan He Jundong Li Furong Huang 23 3 0 27 May 2024
Graph Condensation for Open-World Graph Learning Xin Gao Tong Chen Wentao Zhang Yayong Li Xiangguo Sun Hongzhi Yin 24 7 0 27 May 2024
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data Rui Miao Kaixiong Zhou Yili Wang Ninghao Liu Ying Wang Xin Wang 29 2 0 24 May 2024
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks Siddhartha Shankar Das S. Ferdous M. Halappanavar Edoardo Serra A. Pothen 18 2 0 24 May 2024
Repeat-Aware Neighbor Sampling for Dynamic Graph Learning Tao Zou Yuhao Mao Junchen Ye Bo Du 20 2 0 24 May 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition Xin Gao Tong Chen Wentao Zhang Junliang Yu Guanhua Ye Quoc Viet Hung Nguyen 24 6 0 22 May 2024
Disttack: Graph Adversarial Attacks Toward Distributed GNN Training Yuxiang Zhang Xin Liu Meng Wu Wei Yan Mingyu Yan Xiaochun Ye Dongrui Fan GNN AAML 13 0 0 10 May 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Xunkai Li Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Bin Cui GNN 34 3 0 07 May 2024
Adaptive Speech Emotion Representation Learning Based On Dynamic Graph Yingxue Gao Huan Zhao Zixing Zhang 36 1 0 07 May 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors Shenghe Zheng Hongzhi Wang Xianglong Liu 36 3 0 02 May 2024
Training-free Graph Neural Networks and the Power of Labels as Features Ryoma Sato 21 4 0 30 Apr 2024
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching Zibin Huang Jun Xian GNN 27 0 0 19 Apr 2024
GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration Tong Qiao Jianlei Yang Yingjie Qi Ao Zhou Chen Bai Bei Yu Weisheng Zhao Chunming Hu 40 1 0 15 Apr 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 26 18 0 24 Mar 2024
Simple Graph Condensation Zhenbang Xiao Yu Wang Shunyu Liu Huiqiong Wang Mingli Song Tongya Zheng DD 61 6 0 22 Mar 2024
Attention is all you need for boosting graph convolutional neural network Yinwei Wu GNN 23 0 0 10 Mar 2024
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling Hussein Abdallah Waleed Afandi Panos Kalnis Essam Mansour 20 2 0 09 Mar 2024
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks Marco De Nadai Francesco Fabbri Paul Gigioli Alice Wang Ang Li ... Sandeep Ghael David Nyhan Hugues Bouchard M. Lalmas Andreas Damianou 19 11 0 08 Mar 2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks Jing Gu Dongmian Zou 32 3 0 06 Mar 2024
Graph Regularized Encoder Training for Extreme Classification Anshul Mittal Shikhar Mohan Deepak Saini Suchith C. Prabhu Jain jiao ... Manik Varma Sumeet Agarwal Soumen Chakrabarti Purushottam Kar Manik Varma GNN 26 0 0 28 Feb 2024