Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 2,277 papers shown

Title
Autobahn: Automorphism-based Graph Neural Nets Erik H. Thiede Wenda Zhou Risi Kondor GNN AI4CE 26 48 0 02 Mar 2021
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations Weihua Hu Muhammed Shuaibi Abhishek Das Siddharth Goyal Anuroop Sriram J. Leskovec Devi Parikh C. L. Zitnick GNN AI4CE 44 68 0 02 Mar 2021
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets Haoran You Zhihan Lu Zijian Zhou Y. Fu Yingyan Lin GNN 41 30 0 01 Mar 2021
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 27 569 0 28 Feb 2021
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data Mahsa Ghorbani Anees Kazi M. Baghshah Hamid R. Rabiee Nassir Navab 27 72 0 27 Feb 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 49 290 0 27 Feb 2021
History-Augmented Collaborative Filtering for Financial Recommendations Baptiste Barreau Laurent Carlier AI4TS 15 10 0 26 Feb 2021
A Universal Model for Cross Modality Mapping by Relational Reasoning Zun Li Congyan Lang Liqian Liang Tao Wang Songhe Feng Jun Wu Yidong Li 27 2 0 26 Feb 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 27 157 0 25 Feb 2021
Efficient and Interpretable Robot Manipulation with Graph Neural Networks Yixin Lin Austin S. Wang Eric Undersander Akshara Rai LM&Ro 105 44 0 25 Feb 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 36 173 0 23 Feb 2021
Few-shot Network Anomaly Detection via Cross-network Meta-learning Kaize Ding Qinghai Zhou Hanghang Tong Huan Liu 48 123 0 22 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 41 326 0 22 Feb 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 44 79 0 22 Feb 2021
GIST: Distributed Training for Large-Scale Graph Convolutional Networks Cameron R. Wolfe Jingkang Yang Arindam Chowdhury Chen Dun Artun Bayer Santiago Segarra Anastasios Kyrillidis BDL GNN LRM 54 9 0 20 Feb 2021
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks K. Seshadri Berkin Akin James Laudon Ravi Narayanaswami Amir Yazdanbakhsh 30 118 0 20 Feb 2021
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective Stephen Bonner Ian P Barrett Cheng Ye Rowan Swiers Ola Engkvist A. Bender Charles Tapley Hoyt William L. Hamilton 32 94 0 19 Feb 2021
Principled Simplicial Neural Networks for Trajectory Prediction T. Roddenberry Nicholas Glaze Santiago Segarra 3DPC 24 91 0 19 Feb 2021
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification Jingyi Wang Zhidong Deng GNN 21 11 0 19 Feb 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 37 352 0 18 Feb 2021
Sparse-Interest Network for Sequential Recommendation Qiaoyu Tan Jianwei Zhang Jiangchao Yao Ninghao Liu Jingren Zhou Hongxia Yang Xia Hu 90 130 0 18 Feb 2021
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique Steph-Yves M. Louis Alireza Nasiri Fatima J. Rolland Cameron Mitro Jianjun Hu 79 9 0 17 Feb 2021
IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning Nan Wu Yuan Xie Cong Hao 3DV 19 57 0 16 Feb 2021
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang Wenhao Yu John E. Herr Olaf Wiest Meng Jiang Nitesh Chawla AI4CE 119 171 0 16 Feb 2021
HDMI: High-order Deep Multiplex Infomax Baoyu Jing Chanyoung Park Hanghang Tong 98 164 0 15 Feb 2021
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series Alasdair Tran A. Mathews Cheng Soon Ong Lexing Xie AI4TS AI4CE 23 12 0 15 Feb 2021
Relation-aware Graph Attention Model With Adaptive Self-adversarial Training Xiao Qin Nasrullah Sheikh B. Reinwald Lingfei Wu 63 30 0 14 Feb 2021
Learning Intents behind Interactions with Knowledge Graph for Recommendation Xiang Wang Tinglin Huang Dingxian Wang Yancheng Yuan Zhenguang Liu Xiangnan He Tat-Seng Chua 90 416 0 14 Feb 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization Aseem Baranwal K. Fountoulakis Aukosh Jagannath OODD 39 75 0 13 Feb 2021
Large-Scale Representation Learning on Graphs via Bootstrapping S. Thakoor Corentin Tallec M. G. Azar Mehdi Azabou Eva L. Dyer Rémi Munos Petar Velivcković Michal Valko SSL 29 218 0 12 Feb 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks Yujun Yan Milad Hashemi Kevin Swersky Yaoqing Yang Danai Koutra 41 249 0 12 Feb 2021
Privacy-Preserving Graph Convolutional Networks for Text Classification Timour Igamberdiev Ivan Habernal GNN 31 33 0 10 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Bahare Fatemi Layla El Asri Seyed Mehran Kazemi GNN SSL 22 160 0 09 Feb 2021
Post-OCR Paragraph Recognition by Graph Convolutional Networks Renshen Wang Yasuhisa Fujii Ashok Popat GNN 39 20 0 29 Jan 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 54 198 0 28 Jan 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 52 6 0 27 Jan 2021
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs Dongyuan Li Hao Peng Jia Wu Yingtong Dou Jianxin Li Philip S. Yu 27 90 0 21 Jan 2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism Qingyun Sun Jianxin Li Hao Peng Jia Wu Yuanxing Ning Phillip S. Yu Lifang He 24 162 0 20 Jan 2021
Learning over Families of Sets -- Hypergraph Representation Learning for Higher Order Tasks Balasubramaniam Srinivasan Da Zheng George Karypis GNN 30 21 0 19 Jan 2021
GraphAttacker: A General Multi-Task GraphAttack Framework Jinyin Chen Dunjie Zhang Zhaoyan Ming Kejie Huang Wenrong Jiang Chen Cui AAML 41 14 0 18 Jan 2021
Heterogeneous Similarity Graph Neural Network on Electronic Health Records Zheng Liu Xiaohan Li Hao Peng Lifang He Philip S. Yu 32 64 0 17 Jan 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting Wenyuan Zeng Ming Liang Renjie Liao R. Urtasun GNN 31 176 0 17 Jan 2021
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search Jason Zhu Yanling Cui Yuming Liu Hao Sun Xue Li Markus Pelger Tianqi Yan Liangjie Zhang Ruofei Zhang Huasha Zhao AI4CE 72 75 0 15 Jan 2021
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network Zhixiang Chen Tengfei Ma Zhihua Jin Yangqiu Song Yangkun Wang GNN 39 5 0 14 Jan 2021
Label Contrastive Coding based Graph Neural Network for Graph Classification Yuxiang Ren Jiyang Bai Jiawei Zhang 42 26 0 14 Jan 2021
MLGO: a Machine Learning Guided Compiler Optimizations Framework Mircea Trofin Yundi Qian E. Brevdo Zinan Lin K. Choromanski Didong Li 44 62 0 13 Jan 2021
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Xiuming Zhang Junsong Yuan Dacheng Tao GNN 154 96 0 10 Jan 2021
Dynamic Graph Collaborative Filtering Xiaohan Li Mengqi Zhang Shu Wu Zheng Liu Liang Wang Philip S. Yu 105 70 0 08 Jan 2021
Machine learning dismantling and early-warning signals of disintegration in complex systems Marco Grassia Manlio De Domenico G. Mangioni AAML 198 85 0 07 Jan 2021
SDGNN: Learning Node Representation for Signed Directed Networks Junjie Huang Huawei Shen Liang Hou Xueqi Cheng 45 83 0 07 Jan 2021