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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,534 papers shown

Title
Autonomous Apple Fruitlet Sizing and Growth Rate Tracking using Computer Vision Harry Freeman Mohamad Qadri Abhisesh Silwal Paul O'Connor Zachary B. Rubinstein D. Cooley George Kantor 81 3 0 03 Dec 2022
MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics Cooper Lorsung A. Farimani AI4CE 59 0 0 02 Dec 2022
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning Yeongwoo Song Hawoong Jeong OOD AI4CE 84 1 0 02 Dec 2022
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment Qizhou Wang Guansong Pang Mahsa Salehi Wray Buntine C. Leckie 103 31 0 02 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King 98 91 0 02 Dec 2022
On the Limit of Explaining Black-box Temporal Graph Neural Networks Minh Nhat Vu My T. Thai 79 4 0 02 Dec 2022
Architectural Implications of Embedding Dimension during GCN on CPU and GPU M. Adiletta David Brooks Gu-Yeon Wei GNN 29 1 0 01 Dec 2022
Automated Coronary Arteries Labeling Via Geometric Deep Learning Yadan Li M. Armin Akila Pemasiri David Ahmedt-Aristizabal 65 3 0 01 Dec 2022
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks Wentai Zhang Joe Joseph Yueyan Yin Liuyue Xie T. Furuhata Soji Yamakawa Kenji Shimada Levent Burak Kara 72 13 0 01 Dec 2022
KGML-xDTD: A Knowledge Graph-based Machine Learning Framework for Drug Treatment Prediction and Mechanism Description Chunyu Ma Zhihan Zhou Han Liu D. Koslicki 60 16 0 30 Nov 2022
Weisfeiler and Leman Go Relational Pablo Barceló Mikhail Galkin Christopher Morris Miguel Romero Orth GNN 88 27 0 30 Nov 2022
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces Li Sun Junda Ye Hao Peng Feiyang Wang Philip S. Yu CLL 122 32 0 30 Nov 2022
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs P. Bongini Elisa Messori Niccolò Pancino Monica Bianchini GNN OOD 55 2 0 30 Nov 2022
Towards Training GNNs using Explanation Directed Message Passing V. Giunchiglia Chirag Varun Shukla Guadalupe Gonzalez Chirag Agarwal 67 7 0 30 Nov 2022
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification Moshe Eliasof E. Haber Eran Treister GNN 112 0 0 29 Nov 2022
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs Lilas Alrahis J. Knechtel Ozgur Sinanoglu GNN AI4CE 93 24 0 29 Nov 2022
On the Ability of Graph Neural Networks to Model Interactions Between Vertices Noam Razin Tom Verbin Nadav Cohen 152 11 0 29 Nov 2022
Text Representation Enrichment Utilizing Graph based Approaches: Stock Market Technical Analysis Case Study Sara Salamat Nima Tavassoli Behnam Sabeti Reza Fahmi 46 0 0 29 Nov 2022
FakeEdge: Alleviate Dataset Shift in Link Prediction Kaiwen Dong Yijun Tian Zhichun Guo Yang Yang Nitesh Chawla 109 13 0 29 Nov 2022
Continuous Neural Algorithmic Planners Yu He Petar Velivcković Pietro Lio Andreea Deac 77 6 0 29 Nov 2022
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature K. Nguyen Hieu Nong T. Nguyen Nhat Ho Khuong N. Nguyen Vinh Phu Nguyen 105 70 0 28 Nov 2022
A Bayesian Approach to Reconstructing Interdependent Infrastructure Networks from Cascading Failures Yu Wang Jin-Zhu Yu H. Baroud 48 1 0 28 Nov 2022
Graph Neural Networks for Breast Cancer Data Integration Teodora Reu 59 1 0 28 Nov 2022
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets Tianjin Huang Tianlong Chen Meng Fang Vlado Menkovski Jiaxu Zhao ... Yulong Pei Decebal Constantin Mocanu Zhangyang Wang Mykola Pechenizkiy Shiwei Liu GNN 93 15 0 28 Nov 2022
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis Sein Kim Namkyeong Lee Junseok Lee Dongmin Hyun Chanyoung Park 102 29 0 28 Nov 2022
LoNe Sampler: Graph node embeddings by coordinated local neighborhood sampling Konstantin Kutzkov 29 5 0 28 Nov 2022
DGI: Easy and Efficient Inference for GNNs Peiqi Yin Xiao Yan Jinjing Zhou Qiang Fu Zhenkun Cai James Cheng Bo Tang Minjie Wang GNN 70 4 0 28 Nov 2022
Beyond 1-WL with Local Ego-Network Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez 84 5 0 27 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 71 6 0 27 Nov 2022
Demystifying Bitcoin Address Behavior via Graph Neural Networks Zhen-Ji Huang Yunyang Huang Peng Qian Jianhai Chen Qinming He GNN 69 6 0 26 Nov 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning Jihoon Ko Shinhwan Kang Taehyung Kwon Heechan Moon Kijung Shin CLL 120 7 0 26 Nov 2022
Distribution Free Prediction Sets for Node Classification J. Clarkson AI4CE 125 25 0 26 Nov 2022
Link Prediction with Non-Contrastive Learning William Shiao Zhichun Guo Tong Zhao Evangelos E. Papalexakis Yozen Liu Neil Shah 111 15 0 25 Nov 2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 107 22 0 25 Nov 2022
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 95 30 0 25 Nov 2022
Graph Convolutional Network-based Feature Selection for High-dimensional and Low-sample Size Data Can Chen Scott T. Weiss Yang-Yu Liu 73 18 0 25 Nov 2022
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating Yixin Liu Yizhen Zheng Daokun Zhang V. Lee Shirui Pan 62 78 0 25 Nov 2022
Molecular Joint Representation Learning via Multi-modal Information Tianyu Wu Yang Tang Qiyu Sun Luolin Xiong 68 15 0 25 Nov 2022
Learning Feynman Diagrams using Graph Neural Networks Harrison Mitchell Alexander Norcliffe Pietro Lio GNN 114 2 0 25 Nov 2022
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry Hatem Helal J. Firoz Jenna A. Bilbrey M. M. Krell Tom Murray Ang Li S. Xantheas Sutanay Choudhury GNN 111 5 0 25 Nov 2022
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning Siyi Li Mingrui Zhang M. Piggott 84 30 0 24 Nov 2022
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing Yue Tan Yixin Liu Guodong Long Jing Jiang Qinghua Lu Chengqi Zhang FedML 127 141 0 23 Nov 2022
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing C. Cui Yumo Yao Chunyun Zhang Hebo Ma Yuling Ma Zhaochun Ren Chen Zhang James Ko AI4Ed 108 34 0 23 Nov 2022
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource Yue Liu Jun Xia Sihang Zhou Xihong Yang K. Liang Chenchen Fan Zhuang Yan Stan Z. Li Xinwang Liu Kunlun He OOD 111 19 0 23 Nov 2022
RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer Yuqi Chen Hanyuan Zhang Weiwei Sun B. Zheng 71 44 0 23 Nov 2022
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks Xinyu Fu Irwin King 111 21 0 23 Nov 2022
UNSAT Solver Synthesis via Monte Carlo Forest Search Chris Cameron Jason S. Hartford Taylor Lundy T. Truong Alan Milligan Rex Chen Kevin Leyton-Brown 83 2 0 22 Nov 2022
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions Anson Bastos Abhishek Nadgeri Kuldeep Singh Toyotaro Suzumura Manish Singh 82 8 0 22 Nov 2022
Learnable Graph Convolutional Attention Networks Adrián Javaloy Pablo Sánchez-Martín Amit Levi Isabel Valera GNN 85 11 0 21 Nov 2022
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks Andreas Roth Thomas Liebig AI4TS AI4CE 68 10 0 21 Nov 2022