Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

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Title
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph Zhaoyang Zhang Hongtu Zhu Ziqi Chen Yingjie Zhang Hai Shu 52 0 0 07 Nov 2024
Normalized Space Alignment: A Versatile Metric for Representation Analysis Danish Ebadulla Aditya Gulati Ambuj Singh 282 0 0 07 Nov 2024
Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation Prashank Kadam 41 0 0 07 Nov 2024
Financial Fraud Detection using Jump-Attentive Graph Neural Networks Prashank Kadam GNN 46 0 0 07 Nov 2024
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck Shuangjie Li Jiangqing Song Baoming Zhang Gaoli Ruan Junyuan Xie Chongjun Wang 38 0 0 07 Nov 2024
Graph neural networks and non-commuting operators Mauricio Velasco Kaiying O'Hare Bernardo Rychtenberg Soledad Villar GNN 277 1 0 06 Nov 2024
Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction Zesheng Liu Maryam Rahnemoonfar AI4CE 43 0 0 06 Nov 2024
Efficient Message Passing Architecture for GCN Training on HBM-based FPGAs with Orthogonal Topology On-Chip Networks Qizhe Wu Letian Zhao Yuchen Gui Huawen Liang Xiaotian Wang GNN 55 1 0 06 Nov 2024
Assessing and Enhancing Graph Neural Networks for Combinatorial Optimization: Novel Approaches and Application in Maximum Independent Set Problems Chenchuhui Hu 33 0 0 06 Nov 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach Hanyang Yuan Jiarong Xu Renhong Huang Mingli Song Chunping Wang Yang Yang AAML 53 1 0 06 Nov 2024
Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification Benedict Aaron Tjandra Federico Barbero Michael M. Bronstein 63 2 0 06 Nov 2024
MEG: Medical Knowledge-Augmented Large Language Models for Question Answering Laura Cabello Carmen Martin-Turrero Uchenna Akujuobi Anders Søgaard Carlos Bobed AI4MH 199 1 0 06 Nov 2024
Reconsidering the Performance of GAE in Link Prediction Weishuo Ma Yanbo Wang Xiang Wang Muhan Zhang 36 1 0 06 Nov 2024
Two-Stage Pretraining for Molecular Property Prediction in the Wild Kevin Tirta Wijaya Minghao Guo Michael Sun Hans-Peter Seidel Wojciech Matusik Vahid Babaei AI4CE 39 0 0 05 Nov 2024
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation Shan Zhao Zhaiyu Chen Zhitong Xiong Yilei Shi Sudipan Saha Xiao Xiang Zhu AI4CE 53 3 0 05 Nov 2024
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts Zelin Yao Chuang Liu Xianke Meng Yibing Zhan Hongzhi Zhang Shirui Pan Wenbin Hu 51 2 0 05 Nov 2024
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks Jinyin Chen Haonan Ma Haibin Zheng DiffM AAML 35 0 0 05 Nov 2024
Winemaking: Extracting Essential Insights for Efficient Threat Detection in Audit Logs Weiheng Wu Wei Qiao Wenhao Yan Bo-Sian Jiang Yuling Liu Baoxu Liu Zhigang Lu JunRong Liu 39 0 0 05 Nov 2024
Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis Xiwen Chen Sayed Pedram Haeri Boroujeni Xin Shu Huayu Li Abolfazl Razi GNN 45 1 0 04 Nov 2024
Federated GNNs for EEG-Based Stroke Assessment Andrea Protani Lorenzo Giusti Albert Sund Aillet Simona Sacco Paolo Manganotti ... Pierpaolo Brutti Pietro Caliandro Luigi Serio Pietro Caliandro Luigi Serio FedML 37 0 0 04 Nov 2024
Predicting the Temperature-Dependent CMC of Surfactant Mixtures with Graph Neural Networks Christoforos Brozos Jan G. Rittig Elie Akanny Sandip Bhattacharya Christina Kohlmann Alexander Mitsos 42 0 0 04 Nov 2024
Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces Siqi Chen Zhiqiang Wang Xianqi Deng Yili Shen C. Ju ... Lin Xiong Guo Ling Dieaa Alhmoud Hui Guan Zhou Lin 48 0 0 03 Nov 2024
PageRank Bandits for Link Prediction Yikun Ban Jiaru Zou Zihao Li Yunzhe Qi Dongqi Fu Jian Kang Hanghang Tong Jingrui He 57 3 0 03 Nov 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning Yahel Jacobs Reut Dayan Uri Shaham 57 0 0 03 Nov 2024
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion Xiang Li Changsheng Shui Yanwei Yu Chao Huang Zhongying Zhao Junyu Dong 34 0 0 02 Nov 2024
An unified approach to link prediction in collaboration networks Juan Sosa Diego Martínez Nicolás Guerrero 41 138 0 01 Nov 2024
DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled Representations Sadaf Khan Zhengyuan Shi Ziyang Zheng Min Li Qiang Xu 65 1 0 01 Nov 2024
Graph Neural Networks for Financial Fraud Detection: A Review Dawei Cheng Yao Zou Sheng Xiang Changjun Jiang AI4TS 56 10 0 01 Nov 2024
MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings Ashkan Golgoon Ryan Franks Khashayar Filom Arjun Ravi Kannan 62 0 0 01 Nov 2024
Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks Xuyuan Liu Yinghao Cai Qihui Yang Yujun Yan 43 0 0 31 Oct 2024
Towards Dynamic Message Passing on Graphs Junshu Sun Chenxue Yang Xiangyang Ji Qingming Huang Shuhui Wang 53 1 0 31 Oct 2024
Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling Chenyu Li Minghui Zhang Chuyan Zhang Yun Gu 38 0 0 31 Oct 2024
NASM: Neural Anisotropic Surface Meshing Hongbo Li Haikuan Zhu Sikai Zhong Ningna Wang Cheng Lin X. Guo Shiqing Xin Wenping Wang Jing Hua Z. Zhong 45 0 0 30 Oct 2024
Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot Sejin Lee Dongha Kim Min Song 62 0 0 30 Oct 2024
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs Aishwarya Sarkar Sayan Ghosh Nathan Tallent Ali Jannesari GNN 47 2 0 30 Oct 2024
Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act Barbara Hoffmann Jana Vatter R. Mayer 46 0 0 29 Oct 2024
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting Bo Jiang Hao Wu Beibei Wang Jin Tang Bin Luo 40 0 0 29 Oct 2024
Faster Local Solvers for Graph Diffusion Equations Jiahe Bai Baojian Zhou Deqing Yang Yanghua Xiao DiffM 47 1 0 29 Oct 2024
A Hierarchical Language Model For Interpretable Graph Reasoning Sambhav Khurana Xiner Li Shurui Gui Shuiwang Ji LRM 49 0 0 29 Oct 2024
HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning Xudong Wang Yuezun Li Huiyu Zhou Jiaran Zhou Junyu Dong 63 1 0 29 Oct 2024
Disentangled and Self-Explainable Node Representation Learning Simone Piaggesi Andre' Panisson Megha Khosla 41 0 0 28 Oct 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 47 2 0 28 Oct 2024
Detecting Malicious Accounts in Web3 through Transaction Graph Wenkai Li Zhijie Liu Xiaoqi Li Sen Nie GNN 41 17 0 28 Oct 2024
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation Mufei Li Siqi Miao Pan Li RALM 45 10 0 28 Oct 2024
DHPrep: Deep Hawkes Process based Dynamic Network Representation Ruixuan Han Hongxiang Li Bin Xie 25 0 0 27 Oct 2024
Graph Neural Networks on Discriminative Graphs of Words Yassine Abbahaddou J. Lutzeyer Michalis Vazirgiannis 28 0 0 27 Oct 2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy Sunwoo Kim Soo Yong Lee Fanchen Bu Shinhwan Kang Kyungho Kim Jaemin Yoo Kijung Shin 39 1 0 27 Oct 2024
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction Haoxin Liu 24 0 0 26 Oct 2024
Convergence Guarantees for the DeepWalk Embedding on Block Models Christopher Harker Aditya Bhaskara 34 0 0 26 Oct 2024
Understanding the Effect of GCN Convolutions in Regression Tasks Juntong Chen Johannes Schmidt-Hieber Claire Donnat Olga Klopp GNN 38 0 0 26 Oct 2024