Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

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Title
Transaction Fraud Detection via Spatial-Temporal-Aware Graph Transformer Yue Tian Guanjun Liu AI4TS 17 1 0 11 Jul 2023
Transaction Fraud Detection via an Adaptive Graph Neural Network Yue Tian Guanjun Liu Jiacun Wang Mengchu Zhou 16 2 0 11 Jul 2023
Intrinsically motivated graph exploration using network theories of human curiosity Shubhankar P. Patankar Mathieu Ouellet J. Cerviño Alejandro Ribeiro Kieran A. Murphy Danielle Bassett 23 2 0 11 Jul 2023
Towards Fair Graph Neural Networks via Graph Counterfactual Zhimeng Guo Jialiang Li Teng Xiao Yao Ma Suhang Wang 74 21 0 10 Jul 2023
Multimodal brain age estimation using interpretable adaptive population-graph learning Kyriaki-Margarita Bintsi V. Baltatzis Rolandos Alexandros Potamias A. Hammers Daniel Rueckert 33 7 0 10 Jul 2023
Multi-modal Graph Learning over UMLS Knowledge Graphs Manuel Burger Gunnar Rätsch Rita Kuznetsova 24 2 0 10 Jul 2023
Polynomial Width is Sufficient for Set Representation with High-dimensional Features Peihao Wang Shenghao Yang Shu Li Zhangyang Wang Pan Li 32 3 0 08 Jul 2023
Digital Twins for Patient Care via Knowledge Graphs and Closed-Form Continuous-Time Liquid Neural Networks Logan Nye AI4CE 32 5 0 08 Jul 2023
Rosko: Row Skipping Outer Products for Sparse Matrix Multiplication Kernels Vikas Natesh Andrew Sabot H. T. Kung Mark Ting 35 0 0 08 Jul 2023
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 31 1 0 07 Jul 2023
Roman Numeral Analysis with Graph Neural Networks: Onset-wise Predictions from Note-wise Features E. Karystinaios Gerhard Widmer 14 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 35 3 0 07 Jul 2023
Adaptive Graph Convolution Networks for Traffic Flow Forecasting Zhengdao Li W. Li K. Hwang AI4TS AI4CE 25 1 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 63 150 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 Dawei Yin Wenqi Fan Hui Liu Jiliang Tang AI4CE 71 269 0 07 Jul 2023
Attentive Graph Enhanced Region Representation Learning Weiliang Chen Qian-nan Ren Jinbao Li AI4TS 30 2 0 06 Jul 2023
Learning Disentangled Representations in Signed Directed Graphs without Social Assumptions Geonwoo Ko Jinhong Jung 33 2 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 53 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 21 7 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 45 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 39 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 32 3 0 05 Jul 2023
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks Vignesh Kothapalli Tom Tirer Joan Bruna 49 12 0 04 Jul 2023
Euclidean Equivariant Models for Generative Graphical Inverse Kinematics Oliver Limoyo Filip Marić Matthew Giamou Petra Alexson Ivan Petrović Jonathan Kelly 31 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 57 7 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 43 6 0 04 Jul 2023
HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks Guanghui Zhu Zhen-Wei Zhu Hongyang Chen Chun Yuan Jiaming Ji 51 3 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 62 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 37 136 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 91 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 33 1 0 03 Jul 2023
MWPRanker: An Expression Similarity Based Math Word Problem Retriever Mayank Goel Venktesh V Vikram Goyal 26 1 0 03 Jul 2023
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning Yucheng Shi Kaixiong Zhou Ninghao Liu 44 11 0 03 Jul 2023
Learning Differentiable Logic Programs for Abstract Visual Reasoning Hikaru Shindo Viktor Pfanschilling Devendra Singh Dhami Kristian Kersting NAI 42 7 0 03 Jul 2023
Automatic MILP Solver Configuration By Learning Problem Similarities Abdelrahman I. Hosny Sherief Reda 45 4 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 46 0 0 02 Jul 2023
MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications Mustafa Munir William Avery R. Marculescu ViT GNN 52 33 0 01 Jul 2023
Single Sequence Prediction over Reasoning Graphs for Multi-hop QA Gowtham Ramesh Makesh Narsimhan Sreedhar Junjie Hu 49 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 29 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 29 6 0 01 Jul 2023
Generalization Limits of Graph Neural Networks in Identity Effects Learning Giuseppe Alessio D’Inverno Simone Brugiapaglia Mirco Ravanelli 44 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 61 3 0 30 Jun 2023
Miniaturized Graph Convolutional Networks with Topologically Consistent Pruning H. Sahbi 35 0 0 30 Jun 2023
Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets Eren Akbiyik Florian Grötschla Béni Egressy Roger Wattenhofer 29 2 0 30 Jun 2023
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters Ahmed Begga Francisco Escolano M. Lozano Edwin R. Hancock 35 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 27 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 44 11 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 44 12 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 44 13 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 23 5 0 27 Jun 2023