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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
On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods Donald Loveland Jiong Zhu Mark Heimann Benjamin Fish Michael T. Schaub Danai Koutra 83 6 0 10 Jul 2022
Graph-based Molecular Representation Learning Zhichun Guo Kehan Guo B. Nan Yijun Tian Roshni G. Iyer ... Olaf Wiest Xiangliang Zhang Wei Wang Chuxu Zhang Nitesh Chawla AI4CE 84 67 0 08 Jul 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling Hongkang Li Ming Wang Sijia Liu Pin-Yu Chen Jinjun Xiong GNN 78 28 0 07 Jul 2022
TF-GNN: Graph Neural Networks in TensorFlow Oleksandr Ferludin Arno Eigenwillig Martin J. Blais Dustin Zelle Jan Pfeifer ... Anton Tsitsulin Kevin Villela Lisa Wang David Wong Bryan Perozzi GNN 100 35 0 07 Jul 2022
Representation Learning in Continuous-Time Dynamic Signed Networks Kartik Sharma Mohit Raghavendra Y. Lee M. Anandkumar Srijan Kumar 103 9 0 07 Jul 2022
A Survey on Hyperlink Prediction Cang Chen Yang-Yu Liu 3DV AI4CE 65 45 0 06 Jul 2022
TREE-G: Decision Trees Contesting Graph Neural Networks Maya Bechler-Speicher Amir Globerson Ran Gilad-Bachrach 104 4 0 06 Jul 2022
GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition Jiang Li Xiaoping Wang Guoqing Lv Zhigang Zeng 134 42 0 06 Jul 2022
Simple and Efficient Heterogeneous Graph Neural Network Xiaocheng Yang Yurui Lai Shirui Pan Xiaochun Ye Xiaochun Ye 151 140 0 06 Jul 2022
Text Enriched Sparse Hyperbolic Graph Convolutional Networks Nurendra Choudhary Nikhil S. Rao Karthik Subbian Chandan K. Reddy 63 0 0 06 Jul 2022
A Safe Semi-supervised Graph Convolution Network Zhi Yang Yadong Yan Haitao Gan Jing Zhao Zhiwei Ye GNN 55 3 0 05 Jul 2022
Learning node embeddings via summary graphs: a brief theoretical analysis Houquan Zhou Shenghua Liu Danai Koutra Huawei Shen Xueqi Cheng 36 0 0 04 Jul 2022
Scalable Polar Code Construction for Successive Cancellation List Decoding: A Graph Neural Network-Based Approach Yun Liao Seyyed Ali Hashemi Hengjie Yang J. Cioffi 77 5 0 03 Jul 2022
Transforming PageRank into an Infinite-Depth Graph Neural Network Andreas Roth Thomas Liebig GNN 93 14 0 01 Jul 2022
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution Yu Yang Hongzhi Yin Jiannong Cao Tong Chen Quoc Viet Hung Nguyen Xiaofang Zhou Lei Chen 82 13 0 01 Jul 2022
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN Kuan Li Yang Liu Xiang Ao Jianfeng Chi Jinghua Feng Hao Yang Qing He AAML 118 67 0 30 Jun 2022
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction Liangzhe Han Xiaojian Ma Leilei Sun Bowen Du Yanjie Fu Weifeng Lv Hui Xiong AI4TS 66 28 0 30 Jun 2022
Modeling Teams Performance Using Deep Representational Learning on Graphs Francesco Carli Pietro Foini N. Gozzi N. Perra Rossano Schifanella GNN 44 0 0 29 Jun 2022
Private Graph Extraction via Feature Explanations Iyiola E. Olatunji Mandeep Rathee Thorben Funke Megha Khosla AAML FAtt 76 12 0 29 Jun 2022
An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations F. Bonnet Jocelyn Ahmed Mazari T. Munzer P. Yser Patrick Gallinari AI4CE 103 11 0 29 Jun 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion Qi Chen Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin DiffM 129 32 0 29 Jun 2022
Deformable Graph Transformer Jinyoung Park Seongjun Yun Hyeon-ju Park Jaewoo Kang Jisu Jeong KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 144 7 0 29 Jun 2022
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations Mandeep Rathee Thorben Funke Avishek Anand Megha Khosla 78 15 0 28 Jun 2022
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network Di Jin Rui-xia Wang Meng Ge Dongxiao He Xiang Li Wei Lin Weixiong Zhang 78 38 0 28 Jun 2022
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting Junchen Ye Zihan Liu Bowen Du Leilei Sun Weimiao Li Yanjie Fu Hui Xiong AI4TS 46 97 0 28 Jun 2022
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture Chengming Zhang Tong Geng Anqi Guo Jiannan Tian Martin C. Herbordt Ang Li Dingwen Tao GNN 64 30 0 28 Jun 2022
Graph Condensation via Receptive Field Distribution Matching Mengyang Liu Shanchuan Li Xinshi Chen Le Song DD 132 53 0 28 Jun 2022
A Representation Learning Framework for Property Graphs Buse Giledereli Hongzhi Chen Changji Li James Cheng Ming Yang AI4TS 53 36 0 27 Jun 2022
Measuring and Improving the Use of Graph Information in Graph Neural Networks Buse Giledereli Jie M. Zhang James Cheng Kaili Ma Richard T. B. Ma Hongzhi Chen Ming Yang GNN 25 0 0 27 Jun 2022
Endowing Language Models with Multimodal Knowledge Graph Representations Ningyuan Huang Y. Deshpande Yibo Liu Houda Alberts Kyunghyun Cho Clara Vania Iacer Calixto VLM 72 16 0 27 Jun 2022
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning Chenxin Xu Yuxin Wei Bohan Tang Sheng Yin Ya Zhang Siheng Chen AI4TS AI4CE 141 37 0 27 Jun 2022
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification Jae-gyun Song Joonhyung Park Eunho Yang 95 55 0 26 Jun 2022
Image Aesthetics Assessment Using Graph Attention Network Koustav Ghosal A. Smolic 99 5 0 26 Jun 2022
Structural Entropy Guided Graph Hierarchical Pooling Junran Wu Xueyuan Chen Ke Xu Shangzhe Li 91 77 0 26 Jun 2022
HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network Khaled Mohammed Saifuddin Bri Bumgardnerr Farhan Tanvir Esra Akbas 82 28 0 25 Jun 2022
MultiSAGE: a multiplex embedding algorithm for inter-layer link prediction Luca Gallo Vito Latora Alfredo Pulvirenti 34 1 0 24 Jun 2022
On Structural Explanation of Bias in Graph Neural Networks Yushun Dong Song Wang Yu Wang Hanyu Wang Jundong Li 102 24 0 24 Jun 2022
Sampling Enclosing Subgraphs for Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari GNN 109 15 0 23 Jun 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs Yi-Lun Liao Tess E. Smidt 197 246 0 23 Jun 2022
Task-Adaptive Few-shot Node Classification Song Wang Kaize Ding Chuxu Zhang Chen Chen Jundong Li OffRL 107 51 0 23 Jun 2022
Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training Xueyi Liu Yu Rong Tingyang Xu Gang Hua Wen-bing Huang Junzhou Huang 37 0 0 23 Jun 2022
Affinity-Aware Graph Networks A. Velingker A. Sinop Ira Ktena Petar Velickovic Sreenivas Gollapudi GNN 107 17 0 23 Jun 2022
A Topological characterisation of Weisfeiler-Leman equivalence classes Jacob Bamberger GNN 41 3 0 23 Jun 2022
Graph Neural Networks for Temperature-Dependent Activity Coefficient Prediction of Solutes in Ionic Liquids Jan G. Rittig Karim Ben Hicham Artur M. Schweidtmann Manuel Dahmen Alexander Mitsos 50 46 0 23 Jun 2022
Ordered Subgraph Aggregation Networks Chao Qian Gaurav Rattan Floris Geerts Christopher Morris Mathias Niepert 129 58 0 22 Jun 2022
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks Hongjoon Ahn You‐Jun Yang Quan Gan Taesup Moon David Wipf 110 27 0 22 Jun 2022
Agent-based Graph Neural Networks Karolis Martinkus Pál András Papp Benedikt Schesch Roger Wattenhofer LLMAG GNN 99 20 0 22 Jun 2022
Understanding convolution on graphs via energies Francesco Di Giovanni J. Rowbottom B. Chamberlain Thomas Markovich Michael M. Bronstein GNN 85 51 0 22 Jun 2022
Efficient and effective training of language and graph neural network models V. Ioannidis Xiang Song Da Zheng Houyu Zhang Jun Ma Yi Xu Belinda Zeng Trishul Chilimbi George Karypis GNN 57 11 0 22 Jun 2022
Nimble GNN Embedding with Tensor-Train Decomposition Chunxing Yin Da Zheng Israt Nisa Christos Faloutsos George Karypis R. Vuduc GNN 100 18 0 21 Jun 2022