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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
Learning Disentangled Representation in Object-Centric Models for Visual Dynamics Prediction via Transformers Sanket Gandhi Atul Samanyu Mahajan Vishal Sharma Rushil Gupta Arnab Kumar Mondal Parag Singla ViT OCL 74 0 0 03 Jul 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 160 2 0 03 Jul 2024
ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation Yannis Karmim Elias Ramzi Raphael Fournier SÑiehotta Nicolas Thome 72 0 0 03 Jul 2024
SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network Yushan Zhu Wen Zhang Yajing Xu Zhen Yao Yin Hua Huajun Chen 99 0 0 03 Jul 2024
Differential Encoding for Improved Representation Learning over Graphs Haimin Zhang Jiahao Xia Min Xu 100 0 0 03 Jul 2024
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models Zike Yuan Ming Liu Hui Wang Bing Qin LRM ELM 133 2 0 03 Jul 2024
Backdoor Graph Condensation Jiahao Wu Ning Lu Zeiyu Dai Kun Wang Wenqi Fan Shengcai Liu Qing Li Ke Tang AAML DD 233 6 0 03 Jul 2024
On the Robustness of Graph Reduction Against GNN Backdoor Yuxuan Zhu Michael Mandulak Kerui Wu George Slota Yuseok Jeon Ka-Ho Chow Lei Yu AAML 66 1 0 02 Jul 2024
Multi-Modal Video Dialog State Tracking in the Wild Adnen Abdessaied Lei Shi Andreas Bulling 70 2 0 02 Jul 2024
Structure-Aware Consensus Network on Graphs with Few Labeled Nodes Shuaike Xu Xiaolin Zhang Peng Zhang Kun Zhan 126 1 0 02 Jul 2024
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection Chunjing Xiao Shikang Pang Xovee Xu Xuan Li Goce Trajcevski Fan Zhou DiffM 78 8 0 02 Jul 2024
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks Yuwen Wang Shunyu Liu Tongya Zheng Kaixuan Chen Mingli Song AI4CE 93 5 0 02 Jul 2024
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning Bowen Zhang Zhichao Huang Genan Dai Guangning Xu Xiaomao Fan Hu Huang 87 0 0 02 Jul 2024
GAT-Steiner: Rectilinear Steiner Minimal Tree Prediction Using GNNs Bugra Onal Eren Dogan Muhammad Hadir Khan Matthew R. Guthaus 101 0 0 01 Jul 2024
PointViG: A Lightweight GNN-based Model for Efficient Point Cloud Analysis Qiang Zheng Yafei Qi Chen Wang Chao Zhang Jian Sun 3DPC 103 2 0 01 Jul 2024
Revisiting Random Walks for Learning on Graphs Jinwoo Kim Olga Zaghen Ayhan Suleymanzade Youngmin Ryou Seunghoon Hong 188 1 0 01 Jul 2024
Heterogeneous Graph Contrastive Learning with Spectral Augmentation Jing Zhang Xiaoqian Jiang Yingjie Xie Cangqi Zhou 97 0 0 30 Jun 2024
Graph in Graph Neural Network Jiongshu Wang Jing Yang Jiankang Deng Hatice Gunes Siyang Song GNN 105 2 0 30 Jun 2024
SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images Zekang Yang Hong Liu Xiangdong Wang 57 2 0 30 Jun 2024
Commute Graph Neural Networks Wei Zhuo Han Yu Guang Tan Xiaoxiao Li GNN 206 1 0 30 Jun 2024
Graph Neural Networks Gone Hogwild Olga Solodova Nick Richardson Deniz Oktay Ryan P. Adams AI4CE GNN 142 1 0 29 Jun 2024
Dual-view Aware Smart Contract Vulnerability Detection for Ethereum Jiacheng Yao Maolin Wang Wanqi Chen Chengxiang Jin Jiajun Zhou Shanqing Yu Qi Xuan 87 0 0 29 Jun 2024
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations Yuntao Shou Wei Ai JiaYi Du Tao Meng Haiyan Liu Nan Yin 144 19 0 27 Jun 2024
Improving the Expressiveness of $K$ -hop Message-Passing GNNs by Injecting Contextualized Substructure Information Tianjun Yao Yiongxu Wang Kun Zhang Shangsong Liang 95 11 0 27 Jun 2024
Federated Graph Semantic and Structural Learning Wenke Huang Guancheng Wan Mang Ye Bo Du FedML 142 49 0 27 Jun 2024
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks Yilun Zheng Sitao Luan Lihui Chen 117 6 0 27 Jun 2024
Conformalized Link Prediction on Graph Neural Networks Tianyi Zhao Jian Kang Lu Cheng 207 8 0 26 Jun 2024
Kolmogorov-Arnold Graph Neural Networks Gianluca De Carlo Andrea Mastropietro Aris Anagnostopoulos 111 28 0 26 Jun 2024
Efficient and Effective Implicit Dynamic Graph Neural Network Yongjian Zhong Hieu Vu Tianbao Yang Bijaya Adhikari GNN 133 1 0 25 Jun 2024
Distributed Training of Large Graph Neural Networks with Variable Communication Rates J. Cerviño Md Asadullah Turja Hesham Mostafa N. Himayat Alejandro Ribeiro GNN AI4CE 93 0 0 25 Jun 2024
Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System Xin Yang Heng Chang Zhijian Lai Jinze Yang Xingrun Li Yu Lu Shuaiqiang Wang D. Yin Erxue Min 82 1 0 25 Jun 2024
Contrastive General Graph Matching with Adaptive Augmentation Sampling Jianyuan Bo Yuan Fang 99 1 0 25 Jun 2024
Link Prediction with Untrained Message Passing Layers Lisi Qarkaxhija Anatol E. Wegner Ingo Scholtes 91 0 0 24 Jun 2024
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs J. V. Pichowski Vincenzo Perri Lisi Qarkaxhija Ingo Scholtes 80 0 0 24 Jun 2024
Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification Beini Xie Heng Chang Ziwei Zhang Zeyang Zhang Simin Wu Xin Wang Yuan Meng Wenwu Zhu 92 3 0 24 Jun 2024
Large Language Models for Link Stealing Attacks Against Graph Neural Networks Faqian Guan Tianqing Zhu Hui Sun Wanlei Zhou Philip S. Yu AAML 118 0 0 22 Jun 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding Tahseen Rabbani Bang An Evan Z Wang Furong Huang 89 23 0 21 Jun 2024
Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network Zesheng Liu Maryam Rahnemoonfar 67 4 0 21 Jun 2024
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning Adnan Ali Jinlong Li Huanhuan Chen Ali Kashif Bashir 115 1 0 21 Jun 2024
A review of feature selection strategies utilizing graph data structures and knowledge graphs Sisi Shao P. Ribeiro Christina Ramirez Jason H. Moore 85 4 0 21 Jun 2024
Graph Edge Representation via Tensor Product Graph Convolutional Representation Bo Jiang Sheng Ge Ziyan Zhang Beibei Wang Jin Tang Bin Luo GNN 115 0 0 21 Jun 2024
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models Jiarui Feng Hao Liu Lecheng Kong Yixin Chen Muhan Zhang 74 3 0 20 Jun 2024
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective Yunfei Liu Jintang Li Yuehe Chen Ruofan Wu Ericbk Wang ... Shuheng Shen Xing Fu Changhua Meng Weiqiang Wang Liang Chen 93 10 0 20 Jun 2024
Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs Michail Chatzianastasis George Dasoulas Michalis Vazirgiannis SSL 77 0 0 20 Jun 2024
Reducing Memory Contention and I/O Congestion for Disk-based GNN Training Qisheng Jiang Lei Jia Chundong Wang GNN 109 2 0 20 Jun 2024
Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture Zhengxin Yang Wanling Gao Luzhou Peng Yunyou Huang Fei Tang Jianfeng Zhan 86 1 0 20 Jun 2024
HIGHT: Hierarchical Graph Tokenization for Molecule-Language Alignment Yongqiang Chen Quanming Yao Juzheng Zhang James Cheng Yatao Bian 136 3 0 20 Jun 2024
Exponential time differencing for matrix-valued dynamical systems Nayef Shkeir Tobias Schäfer T. Grafke 53 0 0 19 Jun 2024
Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference Xuehao Zhai Junqi Jiang Adam Dejl Antonio Rago Fangce Guo Francesca Toni Aruna Sivakumar 77 1 0 19 Jun 2024
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs Hewen Wang Renchi Yang Xiaokui Xiao 73 1 0 19 Jun 2024