Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 4,466 papers shown

Title
HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks Chao Hu Ruishi Yu Binqi Zeng Yu Zhan Ying Fu Quan Zhang Rongkai Liu Heyuan Shi AAML 19 7 0 24 Feb 2023
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs Xin Zheng Miao Zhang C. Chen Qin Zhang Chuan Zhou Shirui Pan GNN 52 30 0 23 Feb 2023
A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots Boyang Zhang Xinlei He Yun Shen Tianhao Wang Yang Zhang AAML 43 2 0 23 Feb 2023
Catch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering Md. Rezaul Karim Felix Hermsen S. Chala Paola de Perthuis Avikarsha Mandal 29 4 0 23 Feb 2023
FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation Learning Bowen Cao Qichen Ye Weiyuan Xu Yuexian Zou 38 1 0 23 Feb 2023
A critical look at the evaluation of GNNs under heterophily: Are we really making progress? Oleg Platonov Denis Kuznedelev Michael Diskin Artem Babenko Liudmila Prokhorenkova 41 195 0 22 Feb 2023
Some Might Say All You Need Is Sum Eran Rosenbluth Jan Toenshoff Martin Grohe 41 16 0 22 Feb 2023
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks Indro Spinelli Riccardo Bianchini Simone Scardapane 36 1 0 22 Feb 2023
Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations Tiexin Qin Benjamin Walker Terry Lyons Hongfei Yan Haoliang Li BDL AI4CE 27 3 0 22 Feb 2023
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer Qiheng Mao Zemin Liu Chenghao Liu Jianling Sun 56 56 0 22 Feb 2023
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation Honglin Shu Pei Gao Lingwei Zhu Zheng Chen 26 2 0 22 Feb 2023
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks Bowen Jin Yu Zhang Yu Meng Jiawei Han 47 31 0 21 Feb 2023
Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems Heesoo Jung Sangpil Kim Hogun Park 35 5 0 21 Feb 2023
Diffusion Probabilistic Models for Structured Node Classification Hyosoon Jang Seonghyun Park Sangwoo Mo SungSoo Ahn DiffM 25 3 0 21 Feb 2023
Link Prediction on Latent Heterogeneous Graphs Trung-Kien Nguyen Zemin Liu Yuan Fang 29 8 0 21 Feb 2023
Label Information Enhanced Fraud Detection against Low Homophily in Graphs Yuchen Wang Jinghui Zhang Zhengjie Huang Weibin Li Shi Feng ... Dianhai Yu Fang Dong Jiahui Jin Beilun Wang Junzhou Luo 27 38 0 21 Feb 2023
Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey Tianlin Li Guangyao Chen Guangwu Qian Pengcheng Gao Xiaoyong Wei Yaowei Wang Yonghong Tian Wen Gao AI4CE VLM 53 205 0 20 Feb 2023
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting Arian Prabowo Wei Shao Hao Xue Piotr Koniusz Flora D. Salim AI4TS 44 14 0 20 Feb 2023
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 21 8 0 20 Feb 2023
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning Weigang Lu Ziyu Guan Wei Zhao Yaming Yang Yuanhai Lv Lining Xing Baosheng Yu Dacheng Tao 58 4 0 19 Feb 2023
Neural Attention Memory Hyoungwook Nam S. Seo HAI 35 0 0 18 Feb 2023
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection Weilin Cong Mehrdad Mahdavi MU 23 18 0 17 Feb 2023
Learnable Topological Features for Phylogenetic Inference via Graph Neural Networks Cheng Zhang 23 14 0 17 Feb 2023
G-Signatures: Global Graph Propagation With Randomized Signatures Bernhard Schafl Lukas Gruber Johannes Brandstetter Sepp Hochreiter 32 2 0 17 Feb 2023
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks Acong Zhang Jincheng Huang Ping Li Kaizheng Zhang GNN 27 4 0 17 Feb 2023
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs Nhat-Khang Ngô Truong-Son Hy Risi Kondor GNN BDL 18 1 0 17 Feb 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 33 16 0 17 Feb 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 29 8 0 16 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization Zhiqing Sun Yiming Yang DiffM 48 122 0 16 Feb 2023
Graph Adversarial Immunization for Certifiable Robustness Shuchang Tao Huawei Shen Qi Cao Yunfan Wu Liang Hou Xueqi Cheng AAML 17 5 0 16 Feb 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks Zemin Liu Xingtong Yu Yuan Fang Xinming Zhang LLMAG AI4CE 27 137 0 16 Feb 2023
Learning to Substitute Ingredients in Recipes Bahare Fatemi Quentin Duval Rohit Girdhar M. Drozdzal Adriana Romero Soriano 29 7 0 15 Feb 2023
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network Wenxuan Tu Bin Xiao Xinwang Liu Sihang Zhou Zhiping Cai Jieren Cheng 43 5 0 15 Feb 2023
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment Meng Liu K. Liang Bin Xiao Wenxuan Tu Sihang Zhou Xihong Yang Xinwang Liu Yue Liu 31 69 0 15 Feb 2023
Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection S. Shi Kai Qiao Jie Yang Baojie Song Jian Chen Binghai Yan 29 14 0 14 Feb 2023
EspalomaCharge: Machine learning-enabled ultra-fast partial charge assignment Yuanqing Wang Iván Pulido Kenichiro Takaba Benjamin Kaminow Jenke Scheen Lily Wang J. Chodera 39 17 0 14 Feb 2023
Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations Gregory Everett Ryan Beal Tim Matthews Joseph Early Timothy J. Norman Sarvapali D. Ramchurn 15 4 0 13 Feb 2023
Deep Orthogonal Hypersphere Compression for Anomaly Detection Yunhe Zhang Yan Sun Jinyu Cai Jicong Fan 43 10 0 13 Feb 2023
NNKGC: Improving Knowledge Graph Completion with Node Neighborhoods Zihui Li Boming Yang 25 4 0 13 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Jia Wu Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 51 12 0 13 Feb 2023
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network Yifei Wang Yupan Wang Zeyu Zhang Song Yang Kaiqi Zhao Jiamou Liu OOD 27 4 0 12 Feb 2023
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning Zehao Niu M. Anitescu Jing Chen BDL 27 4 0 12 Feb 2023
A Survey on Spectral Graph Neural Networks Deyu Bo Xiao Wang Yang Liu Yuan Fang Yawen Li Chuan Shi 43 27 0 11 Feb 2023
Trajectory-User Linking via Hierarchical Spatio-Temporal Attention Networks Wei Chen Chao Huang Yanwei Yu Yongguo Jiang Junyu Dong 17 13 0 11 Feb 2023
Unnoticeable Backdoor Attacks on Graph Neural Networks Enyan Dai Minhua Lin Xiang Zhang Suhang Wang AAML 35 47 0 11 Feb 2023
Semi-decentralized Federated Ego Graph Learning for Recommendation Liang Qu Ningzhi Tang Ruiqi Zheng Quoc Viet Hung Nguyen Zi Huang Yuhui Shi Hongzhi Yin FedML 77 51 0 10 Feb 2023
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment Wei Dong Dawei Yan Peifeng Wang SSL 19 2 0 09 Feb 2023
Lorentz Equivariant Model for Knowledge-Enhanced Hyperbolic Collaborative Filtering Bosong Huang Weihao Yu Ruzhong Xie Jing Xiao Jin Huang 45 0 0 09 Feb 2023
Dual Algorithmic Reasoning Danilo Numeroso D. Bacciu Petar Velickovic 37 18 0 09 Feb 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion Haotian Ju Dongyue Li Aneesh Sharma Hongyang R. Zhang 31 40 0 09 Feb 2023