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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,528 papers shown

Title
Multi-task multi-station earthquake monitoring: An all-in-one seismic Phase picking, Location, and Association Network (PLAN) Xu Si Xinming Wu Zefeng Li Sheng Wang Jun Zhu 58 2 0 24 Jun 2023
Similarity Preserving Adversarial Graph Contrastive Learning Yeonjun In Kanghoon Yoon Chanyoung Park AAML 88 10 0 24 Jun 2023
Generalised f-Mean Aggregation for Graph Neural Networks Ryan Kortvelesy Steven D. Morad Amanda Prorok FedML AI4CE 81 4 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 95 8 0 24 Jun 2023
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs Loc Hoang Rita Brugarolas Brufau Ke Ding Bo Wu GNN 63 2 0 23 Jun 2023
Torsion Graph Neural Networks Cong Shen Xiang Liu Jiawei Luo Kelin Xia 73 1 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 64 8 0 23 Jun 2023
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction Cong Shen Pingjian Ding Junjie Wee Jialin Bi Jiawei Luo Kelin Xia GNN 104 6 0 23 Jun 2023
DISCO-10M: A Large-Scale Music Dataset Luca A. Lanzendörfer Florian Grötschla Emil Funke Roger Wattenhofer 76 14 0 23 Jun 2023
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support Jie Wang Zheng Yan Jiahe Lan Elisa Bertino Witold Pedrycz 65 13 0 23 Jun 2023
Evolving Computation Graphs Andreea Deac Jian Tang 75 1 0 22 Jun 2023
Efficient Partitioning Method of Large-Scale Public Safety Spatio-Temporal Data based on Information Loss Constraints Jie Gao Yawen Li Zhe Xue Zeli Guan 88 0 0 22 Jun 2023
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models Erik Altman Jovan Blanuvsa Luc von Niederhäusern Béni Egressy Andreea Anghel Kubilay Atasu 153 44 0 22 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
Recent Developments in Recommender Systems: A Survey Yang Li Kangbo Liu Ranjan Satapathy Suhang Wang Erik Cambria OffRL 137 36 0 22 Jun 2023
On Addressing the Limitations of Graph Neural Networks Sitao Luan GNN 89 5 0 22 Jun 2023
Geometric Pooling: maintaining more useful information Hao Xu Jia Liu Yang Shen Kenan Lou Yanxia Bao Ruihua Zhang Shuyue Zhou Hongsen Zhao Shuai Wang 63 0 0 21 Jun 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection Jianheng Tang Fengrui Hua Zi-Chao Gao P. Zhao Jia Li 105 66 0 21 Jun 2023
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks Jiaqi Han Wen-bing Huang Yu Rong Tingyang Xu Gang Hua Junzhou Huang 88 6 0 21 Jun 2023
Provably Powerful Graph Neural Networks for Directed Multigraphs Béni Egressy Luc von Niederhäusern Jovan Blanusa Erik Altman Roger Wattenhofer Kubilay Atasu 103 19 0 20 Jun 2023
Contrastive Disentangled Learning on Graph for Node Classification Xiaojuan Zhang Jun Fu Shuang Li SSL 66 1 0 20 Jun 2023
Low Latency Edge Classification GNN for Particle Trajectory Tracking on FPGAs Shih-Yu Huang Yun-Chen Yang Yu-Ru Su Bo-Cheng Lai Javier Mauricio Duarte Scott Hauck Shih-Chieh Hsu Jin-Xuan Hu Mark S. Neubauer GNN 84 1 0 20 Jun 2023
Variational Disentangled Graph Auto-Encoders for Link Prediction Jun Fu Xiaojuan Zhang Shuang Li Dali Chen CML DRL 69 3 0 20 Jun 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks Wentao Zhao Qitian Wu Chenxiao Yang Junchi Yan 70 14 0 20 Jun 2023
Att-KGCN: Tourist Attractions Recommendation System by using Attention mechanism and Knowledge Graph Convolution Network A. Mubarak Jingjing Li Han Cao GNN 78 0 0 19 Jun 2023
FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph Zhanyu Liu Chumeng Liang Guanjie Zheng Hua Wei 80 5 0 19 Jun 2023
NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning Yun Yi Haokui Zhang Rong Xiao Nan Wang Xiaoyu Wang GNN 73 3 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 133 100 0 19 Jun 2023
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation Qianru Zhang Chao Huang Lianghao Xia Zheng Wang Siu-keung Yiu Ruihua Han AI4TS 112 22 0 19 Jun 2023
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification Le-le Cao Vilhelm von Ehrenheim Mark Granroth-Wilding Richard Anselmo Stahl Andrew McCornack Armin Catovic Dhiana Deva Cavalcanti Rocha 102 4 0 18 Jun 2023
Structure-Sensitive Graph Dictionary Embedding for Graph Classification Guangyi Liu Tong Zhang Xudong Wang Wenting Zhao Chuanwei Zhou Zhen Cui 68 1 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 109 7 0 18 Jun 2023
Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions Fang Li Yi Nian Zenan Sun Cui Tao LM&MA OOD AI4TS AI4CE 77 6 0 18 Jun 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking Juanhui Li Harry Shomer Haitao Mao Shenglai Zeng Yao Ma Neil Shah Jiliang Tang D. Yin 174 60 0 18 Jun 2023
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network Fan Liu Siqi Lai Yansong Ning Hao Liu AAML FedML 88 3 0 17 Jun 2023
Do as I can, not as I get Shangfei Zheng Hongzhi Yin Tong Chen Quoc Viet Hung Nguyen Wei Chen Lei Zhao 91 2 0 17 Jun 2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning Zhiyao Zhou Sheng Zhou Bochao Mao Xu Zhou Jiawei Chen Qiaoyu Tan Daochen Zha Yan Feng Chun-Yen Chen C. Wang 141 24 0 17 Jun 2023
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection George Papadimitriou Hongwei Jin Cong Wang Rajiv Mayani Krishnan Raghavan A. Mandal Prasanna Balaprakash Ewa Deelman 89 3 0 16 Jun 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 84 25 0 16 Jun 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 103 28 0 16 Jun 2023
Kriging Convolutional Networks G. Appleby Linfeng Liu Liping Liu 119 66 0 15 Jun 2023
Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models Myles Foley Ambrish Rawat Taesung Lee Yufang Hou Gabriele Picco Giulio Zizzo DeLMO 138 6 0 15 Jun 2023
Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science Somya Sharma Swati Sharma Licheng Liu Rishabh Tushir Andy Neal Robert Osazuwa Ness J. Crawford Emre Kıcıman Ranveer Chandra AI4CE 69 2 0 15 Jun 2023
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs N. Lell A. Scherp 77 1 0 15 Jun 2023
Hyperbolic Representation Learning: Revisiting and Advancing Menglin Yang Min Zhou Rex Ying Yankai Chen Irwin King 95 23 0 15 Jun 2023
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation Yu Wang Tongya Zheng Shunyu Liu Zunlei Feng Kaixuan Chen Yunzhi Hao Min-Gyoo Song 96 9 0 15 Jun 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials Shengchao Liu Weitao Du Yanjing Li Zhuoxinran Li Zhiling Zheng ... Anima Anandkumar C. Borgs J. Chayes Hongyu Guo Jian Tang AI4CE 99 24 0 15 Jun 2023
Hyperbolic Convolution via Kernel Point Aggregation Eric Qu Dongmian Zou 87 3 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 99 16 0 14 Jun 2023
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation Likang Wu Zhi Li Hongke Zhao Zhe-Feng Wang Qi Liu Baoxing Huai N. Yuan Enhong Chen 64 8 0 14 Jun 2023