v1v2v3v4 (latest)

Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,534 papers shown

Title
AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and Structure Optimization Yang Chen Bin Zhou AAML 92 0 0 19 Jun 2024
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks Yaochu Jin Xueming Yan Shiqing Liu Xiangyu Wang 132 3 0 19 Jun 2024
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes Yuchang Zhu Jintang Li Yatao Bian Zibin Zheng Liang Chen 84 3 0 19 Jun 2024
RobGC: Towards Robust Graph Condensation Xinyi Gao Hongzhi Yin Tong Chen Guanhua Ye Wentao Zhang Tengjiao Wang AAML 150 3 0 19 Jun 2024
Demystifying Higher-Order Graph Neural Networks Maciej Besta Florian Scheidl Lukas Gianinazzi S. Klaiman Jürgen Müller Torsten Hoefler 101 3 0 18 Jun 2024
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions Siemen Brussee Giorgio Buzzanca Anne M.R. Schrader Jesper Kers 155 11 0 18 Jun 2024
Bridging Local Details and Global Context in Text-Attributed Graphs Yaoke Wang Yun Zhu Wenqiao Zhang Yueting Zhuang Yunfei Li Siliang Tang 108 7 0 18 Jun 2024
MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction Yuyan Liu Sirui Ding Sheng Zhou Wenqi Fan Qiaoyu Tan 91 11 0 18 Jun 2024
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs Kun Wang Guibin Zhang Xinnan Zhang Sihang Li Xun Wu Guohao Li Shirui Pan Wei-Ming Huang Yuxuan Liang 96 7 0 18 Jun 2024
Semantic Graph Consistency: Going Beyond Patches for Regularizing Self-Supervised Vision Transformers Chaitanya Devaguptapu Sumukh K. Aithal Shrinivas Ramasubramanian Moyuru Yamada Manohar Kaul ViT 100 0 0 18 Jun 2024
A Scalable and Effective Alternative to Graph Transformers Kaan Sancak Zhigang Hua Jin Fang Yan Xie Andrey Malevich Bo Long M. F. Balin Ümit V. Çatalyürek 96 1 0 17 Jun 2024
UniGLM: Training One Unified Language Model for Text-Attributed Graphs Yi Fang Dongzhe Fan Sirui Ding Ninghao Liu Qiaoyu Tan VLM 132 5 0 17 Jun 2024
Scalable Expressiveness through Preprocessed Graph Perturbations Danial Saber Amirali Salehi-Abari 78 1 0 17 Jun 2024
Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks P. Samoaa Mehrdad Farahani Antonio Longa Philipp Leitner M. Chehreghani 100 0 0 17 Jun 2024
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning Kaidi Li Tianmeng Yang Min Zhou Jiahao Meng Shendi Wang ... Hu Song Lujia Pan Fan Yu Zhenli Sheng Yunhai Tong AAML 88 5 0 17 Jun 2024
Graph Knowledge Distillation to Mixture of Experts Pavel Rumiantsev Mark Coates 86 0 0 17 Jun 2024
DeFiGuard: A Price Manipulation Detection Service in DeFi using Graph Neural Networks Dabao Wang Bang Wu Xingliang Yuan Lei Wu Yajin Zhou Helei Cui 52 3 0 17 Jun 2024
E-SAGE: Explainability-based Defense Against Backdoor Attacks on Graph Neural Networks Dingqiang Yuan Xiaohua Xu Lei Yu Tongchang Han Rongchang Li Meng Han AAML 88 1 0 15 Jun 2024
HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning Zhuoning Guo Duanyi Yao Qiang Yang Hao Liu FedML 87 4 0 15 Jun 2024
A Unified Graph Selective Prompt Learning for Graph Neural Networks Bo Jiang Hao Wu Ziyan Zhang Beibei Wang Jin Tang 72 1 0 15 Jun 2024
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang 63 3 0 14 Jun 2024
Rule Based Learning with Dynamic (Graph) Neural Networks Florian Seiffarth 86 1 0 14 Jun 2024
POWN: Prototypical Open-World Node Classification Marcel Hoffmann Lukas Galke A. Scherp 115 0 0 14 Jun 2024
Dataset Condensation with Latent Quantile Matching Wei Wei Tom De Schepper Kevin Mets DD 86 2 0 14 Jun 2024
DeltaPhi: Learning Physical Trajectory Residual for PDE Solving Xihang Yue Linchao Zhu Yi Yang AI4CE 82 1 0 14 Jun 2024
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs Zhuofeng Li Zixing Gou Xiangnan Zhang Zhongyuan Liu Sirui Li Yuntong Hu Chen Ling Zheng Zhang Liang Zhao 105 7 0 14 Jun 2024
OLGA: One-cLass Graph Autoencoder M. Gôlo José Gilberto Barbosa de Medeiros Junior Diego Furtado Silva R. Marcacini 82 0 0 13 Jun 2024
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability Pengyun Wang Junyu Luo Yanxin Shen Siyu Heng Xiao Luo 109 1 0 13 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 99 32 0 13 Jun 2024
Motif-driven Subgraph Structure Learning for Graph Classification Zhiyao Zhou Sheng Zhou Bochao Mao Jiawei Chen Qingyun Sun Yan Feng Chun-Yen Chen Can Wang 99 1 0 13 Jun 2024
Hierarchical Compression of Text-Rich Graphs via Large Language Models Shichang Zhang Da Zheng Jiani Zhang Qi Zhu Xiang Song Soji Adeshina Christos Faloutsos George Karypis Yizhou Sun VLM 92 1 0 13 Jun 2024
$MOTI$\mathcal{VE}$: A Drug-Target Interaction Graph For Inductive Link Prediction$ MOTI $\mathcal{VE}$ : A Drug-Target Interaction Graph For Inductive Link Prediction John Arevalo Ellen Su Anne E Carpenter Shantanu Singh 75 2 0 12 Jun 2024
GraphFM: A Comprehensive Benchmark for Graph Foundation Model Yuhao Xu Xinqi Liu Keyu Duan Yi Fang Yu-Neng Chuang Daochen Zha Qiaoyu Tan AI4CE 62 1 0 12 Jun 2024
Conformal Load Prediction with Transductive Graph Autoencoders Rui Luo Nicolo Colombo 200 12 0 12 Jun 2024
Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes Asim Waqas Aakash Tripathi Paul Stewart Mia Naeini Ghulam Rasool AI4CE 85 3 0 11 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 68 0 0 11 Jun 2024
On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson Nadav Dym 187 2 0 11 Jun 2024
Link Prediction in Bipartite Networks Sükrü Demir Inan Özer Günce Keziban Orman Vincent Labatut 63 2 0 10 Jun 2024
GraphStorm: all-in-one graph machine learning framework for industry applications Da Zheng Xiang Song Qi Zhu Jian Zhang Theodore Vasiloudis ... Qingjun Cui Huzefa Rangwala Belinda Zeng Christos Faloutsos George Karypis AI4TS AI4CE VLM 87 5 0 10 Jun 2024
EpiLearn: A Python Library for Machine Learning in Epidemic Modeling Zewen Liu Yunxiao Li Mingyang Wei Guancheng Wan Max S. Y. Lau Wei Jin 59 6 0 10 Jun 2024
Explainable AI for Mental Disorder Detection via Social Media: A survey and outlook Yusif Ibrahimov Tarique Anwar Tommy Yuan 76 4 0 10 Jun 2024
A Survey on Text-guided 3D Visual Grounding: Elements, Recent Advances, and Future Directions Daizong Liu Yang Liu Wencan Huang Wei Hu LM&Ro 120 9 0 09 Jun 2024
Transfer Entropy in Graph Convolutional Neural Networks Adrian Moldovan A. Cataron Razvan Andonie GNN 152 1 0 08 Jun 2024
DUPLEX: Dual GAT for Complex Embedding of Directed Graphs Zhaoru Ke Hang Yu Jianguo Li Haipeng Zhang 126 6 0 08 Jun 2024
ProG: A Graph Prompt Learning Benchmark Chenyi Zi Haihong Zhao Xiangguo Sun Yiqing Lin Hong Cheng Jia Li 146 14 0 08 Jun 2024
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training Xizhi Gu Hongzheng Li Shihong Gao Xinyan Zhang Lei Chen Yingxia Shao GNN 58 1 0 07 Jun 2024
Graph Mining under Data scarcity Appan Rakaraddi Lam Siew-Kei Mahardhika Pratama Marcus Vinícius de Carvalho BDL 89 0 0 07 Jun 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction Venkata Sai Pranav Bachina Ankit Gangwal Aaryan Ajay Sharma Charu Sharma 152 2 0 07 Jun 2024
LinkGPT: Teaching Large Language Models To Predict Missing Links Zhongmou He Jing Zhu Shengyi Qian Joyce Chai Danai Koutra LRM 87 2 0 07 Jun 2024
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction Sunwoong Yang Ricardo Vinuesa Namwoo Kang AI4CE 80 4 0 06 Jun 2024