Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

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Title
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks Runzhong Wang Yang Li Junchi Yan Xiaokang Yang AI4CE 44 0 0 06 Sep 2024
Curvy: A Parametric Cross-section based Surface Reconstruction Aradhya Neeraj Mathur Apoorv Khattar Ojaswa Sharma 26 0 0 01 Sep 2024
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model Yasir Ali Farrukh S. Wali I. Khan Nathaniel D. Bastian 186 2 0 27 Aug 2024
Exploring the Potential of Large Language Models for Heterophilic Graphs Yuxia Wu Shujie Li Yuan Fang Chuan Shi 44 1 0 26 Aug 2024
Cell-ontology guided transcriptome foundation model Xinyu Yuan Zhihao Zhan Zuobai Zhang Manqi Zhou Jianan Zhao Boyu Han Yue Li Jian Tang 47 1 0 22 Aug 2024
Deep Generative Models for Subgraph Prediction Erfaneh Mahmoudzadeh Parmis Naddaf Kiarash Zahirnia Oliver Schulte BDL GNN 33 0 0 07 Aug 2024
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning Tianmeng Yang Jiahao Meng Min Zhou Yaming Yang Yujing Wang Xiangtai Li Yunhai Tong NoLa 34 1 0 01 Aug 2024
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection Fei Xiao Shaofeng Cai Wei Zhang H. V. Jagadish Beng Chin Ooi Meihui Zhang 38 0 0 01 Aug 2024
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection Junwei He Qianqian Xu Yangbangyan Jiang Zitai Wang Yuchen Sun Qingming Huang OODD 40 0 0 31 Jul 2024
UMMAN: Unsupervised Multi-graph Merge Adversarial Network for Disease Prediction Based on Intestinal Flora Dingkun Liu Hongjie Zhou Yilu Qu Huimei Zhang Yongdong Xu AI4CE 21 0 0 31 Jul 2024
Harvesting Textual and Structured Data from the HAL Publication Repository Francis Kulumba Wissam Antoun Guillaume Vimont Laurent Romary 40 2 0 30 Jul 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 48 0 0 26 Jul 2024
RIDA: A Robust Attack Framework on Incomplete Graphs Jianke Yu Hanchen Wang Chen Chen Xiaoyang Wang Wenjie Zhang Ying Zhang Ying Zhang Xijuan Liu GNN OOD AAML 41 1 0 25 Jul 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 54 0 0 21 Jul 2024
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs Aaron Zolnai-Lucas Jack Boylan Chris Hokamp Parsa Ghaffari 42 1 0 10 Jul 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu Zhen Zhang Jiachen Tang Jiajun Bu Bingsheng He Sheng Zhou 39 3 0 09 Jul 2024
Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications Maoxin Ji Qiong Wu Pingyi Fan Nan Cheng Wen Chen Jiangzhou Wang Khaled B. Letaief GNN 39 16 0 09 Jul 2024
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data Yufei He Zhenyu Hou Yukuo Cen Feng He Xu Cheng Bryan Hooi AI4CE 29 3 0 04 Jul 2024
Backdoor Graph Condensation Jiahao Wu Ning Lu Zeiyu Dai Kun Wang Wenqi Fan Shengcai Liu Qing Li Ke Tang AAML DD 71 6 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 58 2 0 03 Jul 2024
Revisiting Random Walks for Learning on Graphs Jinwoo Kim Olga Zaghen Ayhan Suleymanzade Youngmin Ryou Seunghoon Hong 66 0 0 01 Jul 2024
SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images Zekang Yang Hong Liu Xiangdong Wang 24 1 0 30 Jun 2024
Commute Graph Neural Networks Wei Zhuo Han Yu Guang Tan Xiaoxiao Li GNN 98 1 0 30 Jun 2024
Graph Neural Networks Gone Hogwild Olga Solodova Nick Richardson Deniz Oktay Ryan P. Adams AI4CE GNN 29 1 0 29 Jun 2024
Federated Graph Semantic and Structural Learning Wenke Huang Guancheng Wan Mang Ye Bo Du FedML 36 43 0 27 Jun 2024
Kolmogorov-Arnold Graph Neural Networks Gianluca De Carlo Andrea Mastropietro Aris Anagnostopoulos 25 26 0 26 Jun 2024
Efficient and Effective Implicit Dynamic Graph Neural Network Yongjian Zhong Hieu Vu Tianbao Yang Bijaya Adhikari GNN 40 0 0 25 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 37 2 0 24 Jun 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding Tahseen Rabbani Bang An Evan Z Wang Furong Huang 31 21 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 29 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 43 0 0 21 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 33 0 0 20 Jun 2024
RobGC: Towards Robust Graph Condensation Xinyi Gao Hongzhi Yin Tong Chen Guanhua Ye Wentao Zhang Tengjiao Wang AAML 58 3 0 19 Jun 2024
POWN: Prototypical Open-World Node Classification Marcel Hoffmann Lukas Galke A. Scherp 34 0 0 14 Jun 2024
OLGA: One-cLass Graph Autoencoder M. Gôlo José Gilberto Barbosa de Medeiros Junior Diego Furtado Silva R. Marcacini 25 0 0 13 Jun 2024
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs Elika Bozorgi Sakher Khalil Alqaiidi Afsaneh Shams H. Arabnia Krzysztof Kochut 39 0 0 11 Jun 2024
On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson Nadav Dym 51 0 0 11 Jun 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction Venkata Sai Pranav Bachina Ankit Gangwal Aaryan Ajay Sharma Charu Sharma 50 1 0 07 Jun 2024
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction Sunwoong Yang Ricardo Vinuesa Namwoo Kang AI4CE 49 4 0 06 Jun 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach Haoyu Han Juanhui Li Wei Huang Xianfeng Tang Hanqing Lu Chen Luo Hui Liu Jiliang Tang 42 6 0 05 Jun 2024
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data Jianping Zhou Bin Lu Zhanyu Liu Siyu Pan Xuejun Feng Hua Wei Guanjie Zheng Xinbing Wang Chenghu Zhou 28 2 0 05 Jun 2024
Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks Yucheng Wu Liyue Chen Yu Cheng Shuai Chen Jinyu Xu Leye Wang GNN 32 0 0 05 Jun 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement Wenjing Chang Kay Liu Philip S. Yu Jianjun Yu 59 2 0 03 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 37 10 0 31 May 2024
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edge Yuxi Han Jihe Wang Danghui Wang 57 1 0 29 May 2024
UniIF: Unified Molecule Inverse Folding Zhangyang Gao Jue Wang Cheng Tan Lirong Wu Yufei Huang Siyuan Li Zhirui Ye Stan Z. Li 40 4 0 29 May 2024
Valid Conformal Prediction for Dynamic GNNs Ed Davis Ian Gallagher Daniel J. Lawson Patrick Rubin-Delanchy AI4CE 42 3 0 29 May 2024
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation Bruno Deprez Toon Vanderschueren Bart Baesens Tim Verdonck Wouter Verbeke 55 4 0 29 May 2024
Don't Forget to Connect! Improving RAG with Graph-based Reranking Jialin Dong Bahare Fatemi Bryan Perozzi Lin F. Yang Anton Tsitsulin 58 25 0 28 May 2024
Scorch: A Library for Sparse Deep Learning Bobby Yan Alexander J. Root Trevor Gale David Broman Fredrik Kjolstad 33 0 0 27 May 2024