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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

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Title
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting Sitan Yang Malcolm Wolff S. Ramasubramanian Vincent Quenneville-Belair Ronak Metha Michael W. Mahoney AI4TS AI4CE 62 1 0 07 Jul 2023
Roman Numeral Analysis with Graph Neural Networks: Onset-wise Predictions from Note-wise Features E. Karystinaios Gerhard Widmer 40 5 0 07 Jul 2023
Contrastive Graph Pooling for Explainable Classification of Brain Networks Jiaxing Xu Qingtian Bian Xinhang Li Aihu Zhang Yiping Ke Miao Qiao Wei Zhang Wei Khang Jeremy Sim Balázs Gulyás 69 3 0 07 Jul 2023
Adaptive Graph Convolution Networks for Traffic Flow Forecasting Zhengdao Li W. Li K. Hwang AI4TS AI4CE 42 2 0 07 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon Cesare Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 130 176 0 07 Jul 2023
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs Zhikai Chen Haitao Mao Hang Li Wei Jin Haifang Wen ... Shuaiqiang Wang D. Yin Wenqi Fan Hui Liu Jiliang Tang AI4CE 162 288 0 07 Jul 2023
Attentive Graph Enhanced Region Representation Learning Weiliang Chen Qian-nan Ren Jinbao Li AI4TS 68 2 0 06 Jul 2023
Learning Disentangled Representations in Signed Directed Graphs without Social Assumptions Geonwoo Ko Jinhong Jung 55 4 0 06 Jul 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks Yuanchen Bei Haonan Xu Sheng Zhou Huixuan Chi Haishuai Wang Mengdi Zhang Zhao Li Jiajun Bu 88 6 0 06 Jul 2023
Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements Marco Skocaj F. Conserva Nicole Sarcone Grande Andrea Orsi Davide Micheli G. Ghinamo S. Bizzarri Roberto Verdone 41 8 0 05 Jul 2023
Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data Hongmin Cai Xiaoke Huang Zheng Liu Wenxiong Liao Haixing Dai ... Dajiang Zhu Hui Ren Quanzheng Li Tianming Liu Xiang Li 62 18 0 05 Jul 2023
Robust Graph Structure Learning with the Alignment of Features and Adjacency Matrix Shaogao Lv Gang Wen Shiyu Liu Linsen Wei Ming Li 67 3 0 05 Jul 2023
STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting Lincan Li Kaixiang Yang Feng Luo Jichao Bi AI4TS 62 3 0 05 Jul 2023
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks Vignesh Kothapalli Tom Tirer Joan Bruna 89 13 0 04 Jul 2023
Euclidean Equivariant Models for Generative Graphical Inverse Kinematics Oliver Limoyo Filip Marić Matthew Giamou Petra Alexson Ivan Petrović Jonathan Kelly 42 2 0 04 Jul 2023
GHOST: A Graph Neural Network Accelerator using Silicon Photonics S. Afifi Febin P. Sunny Amin Shafiee Mahdi Nikdast S. Pasricha GNN 92 9 0 04 Jul 2023
Serving Graph Neural Networks With Distributed Fog Servers For Smart IoT Services Liekang Zeng Xu Chen Peng Huang Ke Luo Xiaoxi Zhang Zhi Zhou GNN 68 6 0 04 Jul 2023
HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks Guanghui Zhu Zhen-Wei Zhu Hongyang Chen Chun Yuan Jiaming Ji 82 4 0 04 Jul 2023
Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction Mengying Jiang Guizhong Liu Biao Zhao Yuanchao Su Weiqiang Jin CML 95 7 0 04 Jul 2023
All in One: Multi-task Prompting for Graph Neural Networks Xiangguo Sun Hongtao Cheng Jia Li Bo Liu Jihong Guan LLMAG AI4CE 127 149 0 04 Jul 2023
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference Haixing Dai Mengxuan Hu Qing Li Lu Zhang Lin Zhao ... Manhua Liu Quanzheng Li Sheng Li Tianming Liu Xiang Li CML OOD 110 2 0 03 Jul 2023
Spatial-temporal Graph Based Multi-channel Speaker Verification With Ad-hoc Microphone Arrays Yijiang Chen Chen Liang Xiao-Lei Zhang 52 1 0 03 Jul 2023
MWPRanker: An Expression Similarity Based Math Word Problem Retriever Mayank Goel Venktesh V Vikram Goyal 48 1 0 03 Jul 2023
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning Yucheng Shi Kaixiong Zhou Ninghao Liu 101 12 0 03 Jul 2023
Learning Differentiable Logic Programs for Abstract Visual Reasoning Hikaru Shindo Viktor Pfanschilling Devendra Singh Dhami Kristian Kersting NAI 87 9 0 03 Jul 2023
Automatic MILP Solver Configuration By Learning Problem Similarities Abdelrahman I. Hosny Sherief Reda 72 7 0 02 Jul 2023
Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge Distillation Kaituo Feng Yikun Miao Changsheng Li Ye Yuan Guoren Wang 121 0 0 02 Jul 2023
MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications Mustafa Munir William Avery R. Marculescu ViT GNN 75 37 0 01 Jul 2023
Single Sequence Prediction over Reasoning Graphs for Multi-hop QA Gowtham Ramesh Makesh Narsimhan Sreedhar Junjie Hu 107 7 0 01 Jul 2023
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs Dalong Zhang Xianzheng Song Zhiyang Hu Yang Li Miao Tao Binbin Hu Lin Wang Qing Cui Jun Zhou GNN 62 4 0 01 Jul 2023
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals Tingting Dan Jiaqi Ding Ziquan Wei S. Kovalsky Minjeong Kim Won Hwa Kim Guorong Wu DiffM 68 6 0 01 Jul 2023
Generalization Limits of Graph Neural Networks in Identity Effects Learning Giuseppe Alessio D’Inverno Simone Brugiapaglia Mirco Ravanelli 73 3 0 30 Jun 2023
Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction? Jun Xia Lecheng Zhang Xiao Zhu Stan Z. Li 110 4 0 30 Jun 2023
Miniaturized Graph Convolutional Networks with Topologically Consistent Pruning H. Sahbi 58 0 0 30 Jun 2023
Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets Eren Akbiyik Florian Grötschla Béni Egressy Roger Wattenhofer 41 2 0 30 Jun 2023
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters Ahmed Begga Francisco Escolano M. Lozano Edwin R. Hancock 86 2 0 29 Jun 2023
An end-to-end framework for gene expression classification by integrating a background knowledge graph: application to cancer prognosis prediction Kazuma Inoue Ryosuke Kojima M. Kamada Yasushi Okuno 35 0 0 29 Jun 2023
Graph Sampling-based Meta-Learning for Molecular Property Prediction Zhuang Xiang Qiang Zhang Bin Wu Keyan Ding Yin Fang Hua-zeng Chen 60 14 0 29 Jun 2023
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses Jeongmin Brian Park Vikram Sharma Mailthody Zaid Qureshi Wen-mei W. Hwu GNN 83 14 0 28 Jun 2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization Ling Yang Jiayi Zheng Heyuan Wang Zhongyi Liu Zhilin Huang Shenda Hong Wentao Zhang Tengjiao Wang 100 16 0 28 Jun 2023
Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers Minyang Tian Eliu A. Huerta Huihuo Zheng Prayush Kumar 54 5 0 27 Jun 2023
SENSEi: Input-Sensitive Compilation for Accelerating GNNs Damitha Sandeepa Lenadora Vimarsh Sathia Gerasimos Gerogiannis Serif Yesil Josep Torrellas Charith Mendis GNN 68 1 0 27 Jun 2023
Contrastive Meta-Learning for Few-shot Node Classification Song Wang Zhen Tan Huan Liu Jundong Li 67 17 0 27 Jun 2023
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks Gao Li M. Duda Xinming Zhang Danai Koutra Yujun Yan 86 9 0 26 Jun 2023
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks Saket Gurukar S. Venkatakrishnan B. Ravindran Srinivas Parthasarathy GNN 44 0 0 25 Jun 2023
GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily Shuaicheng Zhang Haohui Wang Si Zhang Dawei Zhou 72 2 0 25 Jun 2023
Semi-supervised Object Detection: A Survey on Recent Research and Progress Yanyang Wang Zhaoxiang Liu Kai Wang 63 10 0 25 Jun 2023
Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices Weichen Zhao Federico López J. M. Riestenberg Michael Strube Diaaeldin Taha Steve J. Trettel 82 8 0 24 Jun 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware Shichang Zhang Atefeh Sohrabizadeh Cheng Wan Zijie Huang Ziniu Hu Yewen Wang Yingyan Lin Lin Jason Cong Yizhou Sun GNN AI4CE 103 25 0 24 Jun 2023
A clustering and graph deep learning-based framework for COVID-19 drug repurposing Chaarvi Bansal Rohitash Chandra Vinti Agarwal P. R. Deepa OOD 53 0 0 24 Jun 2023