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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
Self-supervised Learning and Graph Classification under Heterophily Y. Ding Ziqiang Liu Hao Hao SSL 47 1 0 14 Jun 2023
Building a Corpus for Biomedical Relation Extraction of Species Mentions Oumaima El Khettari Solen Quiniou Samuel Chaffron 43 3 0 14 Jun 2023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Qitian Wu Wentao Zhao Zenan Li David Wipf Junchi Yan 73 232 0 14 Jun 2023
Chart2Vec: A Universal Embedding of Context-Aware Visualizations Qing Chen Ying Chen Ruishi Zou Wei Shuai Yi Guo Jiazhe Wang Nana Cao 83 3 0 14 Jun 2023
FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks Mridul Gupta H. Kodamana Sayan Ranu AI4TS 71 18 0 14 Jun 2023
A Simple and Scalable Graph Neural Network for Large Directed Graphs Seiji Maekawa Yuya Sasaki Makoto Onizuka GNN 73 0 0 14 Jun 2023
Explainable and Position-Aware Learning in Digital Pathology Milan Aryal Nasim Yahyasoltani MedIm 60 0 0 14 Jun 2023
Generated Graph Detection Yi Ma Zhikun Zhang Ning Yu Xinlei He Michael Backes Yun Shen Yang Zhang 52 0 0 13 Jun 2023
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs Haozhen Zhang Xueting Han Xi Xiao Jing Bai 96 9 0 13 Jun 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs Y. Zheng He Zhang V. Lee Yu Zheng Tianlin Li Shirui Pan 77 34 0 13 Jun 2023
Operator Learning with Neural Fields: Tackling PDEs on General Geometries Louis Serrano Lise Le Boudec Armand K. Koupai Thomas X. Wang Yuan Yin Jean-Noel Vittaut Patrick Gallinari AI4CE 93 42 0 12 Jun 2023
Dynamic Causal Graph Convolutional Network for Traffic Prediction Junpeng Lin Ziyue Li Zhishuai Li Lei Bai Rui Zhao Chen Zhang GNN AI4TS 83 17 0 12 Jun 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs William Shiao Uday Singh Saini Yozen Liu Tong Zhao Neil Shah Evangelos E. Papalexakis SSL OOD 93 7 0 12 Jun 2023
A Graph Transformer-Driven Approach for Network Robustness Learning Yu Zhang Jia Li Jie Ding Xiang Li OOD AAML OffRL 25 4 0 12 Jun 2023
Deep Demixing: Reconstructing the Evolution of Network Epidemics Boning Li Gojko Cutura A. Swami Santiago Segarra 56 0 0 11 Jun 2023
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching Xuanzhou Liu Lin Zhang Jiaqi Sun Yujiu Yang Haiqing Yang 61 2 0 10 Jun 2023
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics Anwar Said Roza G. Bayrak Hanyu Wang Mudassir Shabbir Daniel Moyer Catie Chang X. Koutsoukos 100 27 0 09 Jun 2023
Virtual Node Tuning for Few-shot Node Classification Zhen Tan Ruocheng Guo Kaize Ding Huan Liu 98 43 0 09 Jun 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks Gaspard Michel Giannis Nikolentzos J. Lutzeyer Michalis Vazirgiannis GNN 100 31 0 09 Jun 2023
CrysMMNet: Multimodal Representation for Crystal Property Prediction Kishalay Das Pawan Goyal Seung-Cheol Lee S. Bhattacharjee Niloy Ganguly 61 13 0 09 Jun 2023
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs Lirong Wu Haitao Lin Yufei Huang Stan Z. Li 82 27 0 09 Jun 2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks Donald Loveland Jiong Zhu Mark Heimann Benjamin Fish Michael T. Shaub Danai Koutra 122 7 0 08 Jun 2023
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction Haomin Yu Yanru Song Jilin Hu Chenjuan Guo B. Yang AI4CE 63 4 0 08 Jun 2023
Bayesian Optimisation of Functions on Graphs Xingchen Wan Pierre Osselin Henry Kenlay Binxin Ru Michael A. Osborne Xiaowen Dong 82 5 0 08 Jun 2023
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction Xuan Lin Lichang Dai Yafang Zhou Zunpeng Yu Wen Zhang ... Li Zeng Hao-Heng Chen Bosheng Song Philip S. Yu Xiangxiang Zeng GNN 66 62 0 08 Jun 2023
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs Zehui Li Xiangyu Zhao Mingzhu Shen Guy-Bart Stan Pietro Lio Yiren Zhao 49 1 0 08 Jun 2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification Nan Yin Libin Shen Mengzhu Wang L. Lan Zeyu Ma C. L. Philip Chen Xiansheng Hua Xiao Luo 104 43 0 08 Jun 2023
Multi-task Bioassay Pre-training for Protein-ligand Binding Affinity Prediction Jiaxian Yan Zhaofeng Ye Ziyi Yang Chengqiang Lu Shengyu Zhang Qi Liu J. Qiu 111 13 0 08 Jun 2023
Unified Embedding Based Personalized Retrieval in Etsy Search Rishikesh Jha Siddharth Subramaniyam E. Benjamin T. Taula DML 47 3 0 07 Jun 2023
Neural Embeddings for Protein Graphs Francesco Ceccarelli Lorenzo Giusti S. Holden Pietro Lio 52 0 0 07 Jun 2023
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning Jianfei Li Ruigang Zheng Han Feng Ming Li Xiaosheng Zhuang 119 66 0 07 Jun 2023
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness Jianpeng Liao Jun Yan Qian Tao 61 2 0 07 Jun 2023
Migrate Demographic Group For Fair GNNs Yanming Hu Tianchi Liao Jialong Chen Jing Bian Zibin Zheng Chuan Chen 82 0 0 07 Jun 2023
BeMap: Balanced Message Passing for Fair Graph Neural Network Xiao Lin Jian Kang Weilin Cong Hanghang Tong MoE 107 8 0 07 Jun 2023
Fine-grained Expressivity of Graph Neural Networks Jan Böker Ron Levie Ningyuan Huang Soledad Villar Christopher Morris 112 21 0 06 Jun 2023
How does over-squashing affect the power of GNNs? Francesco Di Giovanni T. Konstantin Rusch Michael M. Bronstein Andreea Deac Marc Lackenby Siddhartha Mishra Petar Velivcković 130 38 0 06 Jun 2023
CIN++: Enhancing Topological Message Passing Lorenzo Giusti Teodora Reu Francesco Ceccarelli Cristian Bodnar Pietro Lio GNN 108 10 0 06 Jun 2023
Logic Diffusion for Knowledge Graph Reasoning Xiaohui Xie Biao Gong Yiliang Lv Zhen Han Guoshuai Zhao Xueming Qian DiffM 109 0 0 06 Jun 2023
Subgraph Networks Based Contrastive Learning Jinhuan Wang Jiafei Shao Zeyu Wang Shanqing Yu Qi Xuan Xiaoniu Yang 81 1 0 06 Jun 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets Shubham Gupta S. Manchanda Sayan Ranu Srikanta J. Bedathur 86 9 0 06 Jun 2023
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman Jiarui Feng Lecheng Kong Hao Liu Dacheng Tao Fuhai Li Muhan Zhang Yixin Chen 136 11 0 05 Jun 2023
Explaining and Adapting Graph Conditional Shift Qi Zhu Yizhu Jiao Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 80 10 0 05 Jun 2023
Structural Re-weighting Improves Graph Domain Adaptation Shikun Liu Tianchun Li Yongbin Feng Nhan Tran Haiying Zhao Qiu Qiang Pan Li OOD AI4CE 81 39 0 05 Jun 2023
Personalized Federated Domain Adaptation for Item-to-Item Recommendation Ziwei Fan Hao Ding Anoop Deoras T. Hoang 93 6 0 05 Jun 2023
Learning Similarity among Users for Personalized Session-Based Recommendation from hierarchical structure of User-Session-Item J. Cha Haemin Jeong Wooju Kim 19 0 0 05 Jun 2023
Automating Style Analysis and Visualization With Explainable AI -- Case Studies on Brand Recognition Yu-hsuan Chen Levent Burak Kara Jonathan Cagan 86 3 0 05 Jun 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data Xin Zheng Miao Zhang C. Chen Quoc Viet Hung Nguyen Xingquan Zhu Shirui Pan DD 120 69 0 05 Jun 2023
Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction Huinan Sun Guang-hong Yu Pengye Zhang Bo Zhang Xingxing Wang Dong Wang 46 6 0 05 Jun 2023
Enhance Diffusion to Improve Robust Generalization Jianhui Sun Sanchit Sinha Aidong Zhang 79 4 0 05 Jun 2023
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications Han Xie Da Zheng Jun Ma Houyu Zhang V. Ioannidis ... Sheng Wang Carl Yang Yi Xu Belinda Zeng Trishul Chilimbi AI4CE 106 40 0 05 Jun 2023