v1v2v3v4 (latest)

Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,528 papers shown

Title
Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations Kunal Mukherjee Zachary Harrison Saeid Balaneshin 52 0 0 01 Jul 2025
Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification Yancheng Wang Yingzhen Yang 78 2 0 01 Jul 2025
A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation Penglong Zhai Yifang Yuan Fanyi Di Jie Li Y. Liu Chen Li Jie Huang S. Wang Yao Xu X. Li 17 0 0 20 Jun 2025
Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures Vijay Prakash Dwivedi Charilaos I. Kanatsoulis Shenyang Huang Jure Leskovec GNN 3DV 47 0 0 19 Jun 2025
SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics Siddharth Viswanath Rahul Singh Yanlei Zhang J. Adam Noah Joy Hirsch Smita Krishnaswamy 27 0 0 19 Jun 2025
Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction Ana Kostovska Carola Doerr Sašo Džeroski P. Panov T. Eftimov 24 0 0 19 Jun 2025
KG-FGNN: Knowledge-guided GNN Foundation Model for Fertilisation-oriented Soil GHG Flux Prediction Yu Zhang Gaoshan Bi Simon Jeffery Max Davis Yang Li Qing Xue Po-Sung Yang AI4CE 17 0 0 18 Jun 2025
Pieceformer: Similarity-Driven Knowledge Transfer via Scalable Graph Transformer in VLSI Hang Yang Yusheng Hu Yong Liu Cong 24 0 0 18 Jun 2025
Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution Xiaohan Zheng Lanning Wei Yong Li Quanming Yao GNN 22 0 0 17 Jun 2025
sHGCN: Simplified hyperbolic graph convolutional neural networks Pol Arévalo Alexis Molina Álvaro Ciudad 31 0 0 17 Jun 2025
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach Qingfeng Chen Shiyuan Li Yixin Liu Shirui Pan Geoffrey I. Webb Shichao Zhang EDL 46 0 0 16 Jun 2025
Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems Md Abrar Jahin Adiba Abid M. F. Mridha 44 0 0 16 Jun 2025
Base3: a simple interpolation-based ensemble method for robust dynamic link prediction Kondrup Emma 28 0 0 15 Jun 2025
Large Scalable Cross-Domain Graph Neural Networks for Personalized Notification at LinkedIn Shihai He Julie Choi Tianqi Li Zhiwei Ding Peng Du ... Franco Liang Fedor Borisyuk Padmini Jaikumar Xiaobing Xue Viral Gupta GNN 22 0 0 15 Jun 2025
MALM: A Multi-Information Adapter for Large Language Models to Mitigate Hallucination Ao Jia Haiming Wu Guohui Yao D. Song Songkun Ji Yazhou Zhang 24 0 0 14 Jun 2025
Learning Mappings in Mesh-based Simulations Shirin Hosseinmardi Ramin Bostanabad AI4CE 17 0 0 14 Jun 2025
Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks Pranjal Naman Yogesh Simmhan FedML AI4CE 27 0 0 14 Jun 2025
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data? Michela Lapenna Caterina De Bacco 86 0 0 13 Jun 2025
TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks Qihai Zhang Xinyue Sheng Yuanfu Sun Qiaoyu Tan AAML 27 1 0 13 Jun 2025
Directed Acyclic Graph Convolutional Networks Samuel Rey Hamed Ajorlou Gonzalo Mateos GNN CML AI4CE 35 0 0 13 Jun 2025
Taxonomy of reduction matrices for Graph Coarsening Antonin Joly Nicolas Keriven Aline Roumy 24 0 0 13 Jun 2025
Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation Hamzeh Asgharnezhad Pegah Tabarisaadi Abbas Khosravi R. Alizadehsani Usha R. Acharya 126 0 0 12 Jun 2025
FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks Zhaoxuan Kan Husheng Han Shangyi Shi Tenghui Hua Hang Lu Xiaowei Li Jianan Mu Xing Hu GNN 157 0 0 12 Jun 2025
Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics Pascal Plettenberg André Alcalde Bernhard Sick Josephine M. Thomas 117 0 0 12 Jun 2025
Guided Graph Compression for Quantum Graph Neural Networks Mikel Casals Vasilis Belis E. Combarro Eduard Alarcón S. Vallecorsa Michele Grossi GNN 70 0 0 11 Jun 2025
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols Longzhu He Chaozhuo Li Peng Tang Litian Zhang Sen Su Philip S. Yu AAML 63 0 0 11 Jun 2025
GRAIL: A Benchmark for GRaph ActIve Learning in Dynamic Sensing Environments Maryam Khalid Akane Sano 62 0 0 11 Jun 2025
Effective Data Pruning through Score Extrapolation Sebastian Schmidt Prasanga Dhungel Christoffer Löffler Bjorn Nieth Stephan Günnemann Leo Schwinn SyDa 37 0 0 10 Jun 2025
HSG-12M: A Large-Scale Spatial Multigraph Dataset Xianquan Yan Hakan Akgün Kenji Kawaguchi N. Duane Loh Ching Hua Lee 31 0 0 10 Jun 2025
Graph Prompting for Graph Learning Models: Recent Advances and Future Directions Xingbo Fu Zehong Wang Zihan Chen Jiazheng Li Yaochen Zhu Zhenyu Lei Cong Shen Yanfang Ye Chuxu Zhang Jundong Li AI4CE VLM 28 0 0 10 Jun 2025
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Michael Färber David Lamprecht Yuni Susanti 22 0 0 10 Jun 2025
Residual Reweighted Conformal Prediction for Graph Neural Networks Zheng Zhang Jie Bao Zhixin Zhou Nicolo Colombo Lixin Cheng Rui Luo 41 1 0 09 Jun 2025
MAGNet: A Multi-Scale Attention-Guided Graph Fusion Network for DRC Violation Detection Weihan Lu Hong Cai Chen 17 0 0 08 Jun 2025
EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network Weijie Guan Haohui Wang Jian Kang Lihui Liu Dawei Zhou 27 0 0 08 Jun 2025
FuncGNN: Learning Functional Semantics of Logic Circuits with Graph Neural Networks Qiyun Zhao GNN 24 0 0 07 Jun 2025
Adam assisted Fully informed Particle Swarm Optimzation ( Adam-FIPSO ) based Parameter Prediction for the Quantum Approximate Optimization Algorithm (QAOA) Shashank Sanjay Bhat Peiyong Wang U. Parampalli 24 0 0 07 Jun 2025
Flow-Attentional Graph Neural Networks Pascal Plettenberg Dominik Köhler Bernhard Sick Josephine M. Thomas 39 0 0 06 Jun 2025
Topology-aware Neural Flux Prediction Guided by Physics Haoyang Jiang Jindong Wang Xingquan Zhu Yi He AI4CE 58 0 0 06 Jun 2025
Large Language Models are Good Relational Learners Fang Wu Vijay Prakash Dwivedi Jure Leskovec 44 0 0 06 Jun 2025
Integrating Spatiotemporal Features in LSTM for Spatially Informed COVID-19 Hospitalization Forecasting Zhongying Wang Thoai D. Ngo Hamidreza Zoraghein Benjamin Lucas M. Karimzadeh 56 0 0 06 Jun 2025
Positional Encoding meets Persistent Homology on Graphs Yogesh Verma Amauri Souza Vikas Garg 51 0 0 06 Jun 2025
BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions Saptarshi Sengupta Shuhua Yang Paul Kwong Yu Fali Wang Suhang Wang 56 0 0 06 Jun 2025
Unlocking Chemical Insights: Superior Molecular Representations from Intermediate Encoder Layers Luis Pinto AI4CE 15 0 0 06 Jun 2025
Reason-to-Recommend: Using Interaction-of-Thought Reasoning to Enhance LLM Recommendation Keyu Zhao Fengli Xu Yong Li LRM 105 0 0 05 Jun 2025
iN2V: Bringing Transductive Node Embeddings to Inductive Graphs N. Lell A. Scherp 112 0 0 05 Jun 2025
Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning Jingyu Hu Hongbo Bo Jun Hong Xiaowei Liu Weiru Liu 94 0 0 05 Jun 2025
The Oversmoothing Fallacy: A Misguided Narrative in GNN Research M. Park Sunghyun Choi Jaeseung Heo Eunhyeok Park Dongwoo Kim AI4CE 116 1 0 05 Jun 2025
Algorithms for estimating linear function in data mining Thomas Hoang 20 0 0 04 Jun 2025
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering Yankai Chen Yue Que Xinni Zhang Chen Ma Irwin King 75 0 0 03 Jun 2025
Dynamic Programming Techniques for Enhancing Cognitive Representation in Knowledge Tracing Lixiang Xu Xianwei Ding Xin Yuan Richang Hong Feiping Nie Enhong Chen Philip S. Yu AI4Ed 71 0 0 03 Jun 2025