v1v2v3v4 (latest)

Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,528 papers shown

Title
A Comprehensive Survey on Segment Anything Model for Vision and Beyond Chunhui Zhang Li Liu Yawen Cui Guanjie Huang Weilin Lin Yiqian Yang Yuehong Hu VLM 102 100 0 14 May 2023
Towards Understanding the Generalization of Graph Neural Networks Huayi Tang Y. Liu GNN AI4CE 95 32 0 14 May 2023
DRew: Dynamically Rewired Message Passing with Delay Benjamin Gutteridge Xiaowen Dong Michael M. Bronstein Francesco Di Giovanni 93 67 0 13 May 2023
Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion Wenjie Xu Ben Liu Miao Peng Xu Jia Min Peng 61 25 0 13 May 2023
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training Ziwei Fan Zhiwei Liu Shelby Heinecke Jianguo Zhang Haiquan Wang Caiming Xiong Philip S. Yu VLM 67 14 0 12 May 2023
Fisher Information Embedding for Node and Graph Learning Dexiong Chen Paolo Pellizzoni Karsten Borgwardt GNN 68 2 0 12 May 2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer Bo Jiang Fei Xu Ziyan Zhang Jin Tang Feiping Nie 77 5 0 12 May 2023
A Multidimensional Graph Fourier Transformation Neural Network for Vehicle Trajectory Prediction Marion Neumeier Andreas Tollkühn M. Botsch Wolfgang Utschick 47 5 0 12 May 2023
Foundations of Spatial Perception for Robotics: Hierarchical Representations and Real-time Systems Nathan Hughes Yun Chang Siyi Hu Rajat Talak Rumaisa Abdulhai Jared Strader Luca Carlone 68 54 0 11 May 2023
Graph Neural Network for Accurate and Low-complexity SAR ATR Bingyi Zhang Sasindu Wijeratne Rajgopal Kannan Viktor Prasanna Carl E. Busart GNN 48 6 0 11 May 2023
Dynamic Graph Representation Learning for Depression Screening with Transformer Ai-Te Kuo Haiquan Chen Yu-Hsuan Kuo Wei-Shinn Ku 31 3 0 10 May 2023
Word Grounded Graph Convolutional Network Zhibin Lu Qianqian Xie Benyou Wang J. Nie OOD GNN 40 0 0 10 May 2023
Feature Expansion for Graph Neural Networks Jiaqi Sun Lin Zhang Guan-Hong Chen Kun Zhang Peng Xu Yujiu Yang GNN 51 13 0 10 May 2023
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering Mingqi Yang Wenjie Feng Yanming Shen Bryan Hooi 119 5 0 10 May 2023
Unraveling the MEV Enigma: ABI-Free Detection Model using Graph Neural Networks Seongwan Park Woo-Kyoung Jeong Yunyoung Lee B. Son H. Jang Jaewook Lee 66 6 0 10 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 183 75 0 10 May 2023
Representation Learning for Person or Entity-centric Knowledge Graphs: An Application in Healthcare Christos Theodoropoulos N. Mulligan T. Stappenbeck Joao H. Bettencourt-Silva 111 5 0 09 May 2023
Graph Neural Networks for Airfoil Design F. Bonnet AI4CE 37 0 0 09 May 2023
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks Cai Zhou Xiyuan Wang Muhan Zhang 66 15 0 08 May 2023
Anticipatory Planning: Improving Long-Lived Planning by Estimating Expected Cost of Future Tasks Roshan Dhakal Md Ridwan Hossain Talukder Gregory J. Stein 55 3 0 08 May 2023
Language Independent Neuro-Symbolic Semantic Parsing for Form Understanding Bhanu Prakash Voutharoja Zhuang Li Fatemeh Shiri 65 1 0 08 May 2023
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity Yuhan Chen Yihong Luo Jing Tang Liang Yang Si-Huang Qiu Chuan Wang Xiaochun Cao 78 22 0 07 May 2023
Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Network Xiaoyu Yang Lijian Xu Simon Yu Qing Xia Hongsheng Li Shaoting Zhang 74 4 0 07 May 2023
Automated Spatio-Temporal Graph Contrastive Learning Qianru Zhang Chao Huang Lianghao Xia Zheng Wang Zhonghang Li Siu-keung Yiu AI4TS 52 51 0 06 May 2023
Zoo Guide to Network Embedding Anthony Baptista Rubén J. Sánchez-García A. Baudot Ginestra Bianconi GNN 87 7 0 05 May 2023
AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning Xiaochuan Zhang Mengran Li Ye Wang Haojun Fei 59 2 0 05 May 2023
HiPool: Modeling Long Documents Using Graph Neural Networks Irene Li Aosong Feng Dragomir R. Radev Rex Ying 43 5 0 05 May 2023
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching Tim Kaler A. Iliopoulos P. Murzynowski Tao B. Schardl C. E. Leiserson Jie Chen GNN 82 16 0 04 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning Dayuan Chen Jian Zhang Yuqian Lv Jinhuan Wang Hongjie Ni Shanqing Yu Zhen Wang Qi Xuan AAML 97 4 0 04 May 2023
Hierarchical Transformer for Scalable Graph Learning Wenhao Zhu Tianyu Wen Guojie Song Xiaojun Ma Liang Wang 120 17 0 04 May 2023
Multi-grained Hypergraph Interest Modeling for Conversational Recommendation Chenzhang Shang Yupeng Hou Wayne Xin Zhao Yaliang Li Jing Zhang 112 12 0 04 May 2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs Jou-An Chen Hsin-Hsuan Sung Xipeng Shen Sutanay Choudhury Ang Li GNN MQ 84 7 0 04 May 2023
Rethinking Graph Lottery Tickets: Graph Sparsity Matters Bo Hui Jocelyn M Mora Adrian Dalca I. Aganj 110 24 0 03 May 2023
An Exploration of Conditioning Methods in Graph Neural Networks Yeskendir Koishekenov Erik J. Bekkers AI4CE 123 3 0 03 May 2023
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems Andreas Look M. Kandemir Barbara Rakitsch Jan Peters BDL 65 6 0 02 May 2023
Spatial-Temporal Networks for Antibiogram Pattern Prediction Xingbo Fu Chen Chen Yushun Dong A. Vullikanti E. Klein Gregory R. Madden Jundong Li 64 9 0 02 May 2023
BrainNPT: Pre-training of Transformer networks for brain network classification Jinlong Hu Ya-Lin Huang Nan Wang Shoubin Dong ViT MedIm 107 8 0 02 May 2023
Revisiting Robustness in Graph Machine Learning Lukas Gosch Daniel Sturm Simon Geisler Stephan Günnemann AAML OOD 168 23 0 01 May 2023
Strengthening structural baselines for graph classification using Local Topological Profile J. Adamczyk Wojciech Czech 61 3 0 01 May 2023
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs Haohui Wang Yuzhen Mao Yujun Yan Yaoqing Yang Jianhui Sun ... Si Zhang Alison Hu Edward Bowen Tyler Cody Dawei Zhou 101 4 0 01 May 2023
Nearly Optimal Steiner Trees using Graph Neural Network Assisted Monte Carlo Tree Search Abu Reyan Ahmed Mithun Ghosh Kwang-Sung Jun Stephen Kobourov 48 0 0 30 Apr 2023
Learning Graph Neural Networks using Exact Compression Jeroen Bollen Jasper Steegmans Jan Van den Bussche Stijn Vansummeren GNN AI4CE 64 4 0 28 Apr 2023
MUDiff: Unified Diffusion for Complete Molecule Generation Chenqing Hua Sitao Luan Minkai Xu Rex Ying Jie Fu Stefano Ermon Doina Precup DiffM 121 37 0 28 Apr 2023
Bitcoin Double-Spending Attack Detection using Graph Neural Network Changhoon Kang Jongsoo Woo J. W. Hong GNN 20 2 0 27 Apr 2023
Connector 0.5: A unified framework for graph representation learning Thanh Sang Nguyen Jooho Lee Van Thuy Hoang O-Joun Lee 3DV 37 4 0 25 Apr 2023
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability Sitao Luan Chenqing Hua Minkai Xu Qincheng Lu Jiaqi Zhu Xiaoming Chang Jie Fu J. Leskovec Doina Precup 93 5 0 25 Apr 2023
Performance Optimization using Multimodal Modeling and Heterogeneous GNN Akashnil Dutta J. Alcaraz Ali TehraniJamsaz E. César A. Sikora Ali Jannesari 77 10 0 25 Apr 2023
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network Nian Liu Tianlin Li Hui-jun Han Chuan Shi SSL 39 5 0 24 Apr 2023
PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysis Shuyong Wei Nuo Xu 51 5 0 24 Apr 2023
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities Yongcheng Jing Xinchao Wang Dacheng Tao 100 22 0 23 Apr 2023