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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,528 papers shown

Title
HAM: A Hyperbolic Step to Regulate Implicit Bias Tom Jacobs Advait Gadhikar Celia Rubio-Madrigal R. Burkholz 81 0 0 03 Jun 2025
HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport Yanbei Liu Chongxu Wang Zhitao Xiao Lei Geng Yanwei Pang Xiao Wang OT 50 0 0 03 Jun 2025
MLaGA: Multimodal Large Language and Graph Assistant Dongzhe Fan Yi Fang Jiajin Liu Djellel Difallah Qiaoyu Tan 61 1 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
ReconXF: Graph Reconstruction Attack via Public Feature Explanations on Privatized Node Features and Labels Rishi Raj Sahoo Rucha Bhalchandra Joshi Subhankar Mishra AAML 24 0 0 02 Jun 2025
iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering Shuai Wang Yinan Yu 72 0 0 02 Jun 2025
From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs Tamara Cucumides Floris Geerts LMTD 26 0 0 02 Jun 2025
RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases Dongwon Choi Sunwoo Kim Juyeon Kim Kyungho Kim Geon Lee Shinhwan Kang Myunghwan Kim Kijung Shin 59 0 0 02 Jun 2025
Automated Manifold Learning for Reduced Order Modeling Imran Nasim Melanie Weber AI4CE 64 0 0 02 Jun 2025
RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models Valter Hudovernik Minkai Xu Juntong Shi Lovro Šubelj Stefano Ermon Erik Štrumbelj J. Leskovec DiffM 43 0 0 31 May 2025
Amatriciana: Exploiting Temporal GNNs for Robust and Efficient Money Laundering Detection Marco Di Gennaro Francesco Panebianco Marco Pianta S. Zanero Michele Carminati 38 0 0 31 May 2025
Studying and Improving Graph Neural Network-based Motif Estimation Pedro C. Vieira Miguel E. P. Silva Pedro Manuel Pinto Ribeiro 26 0 0 30 May 2025
Heterogeneous Graph Backdoor Attack Jiawei Chen Lusi Li Daniel Takabi Masha Sosonkina Rui Ning AAML 27 0 0 30 May 2025
Practical Bayes-Optimal Membership Inference Attacks Marcus Lassila Johan Ostman K. Ngo Alexandre Graell i Amat 42 0 0 30 May 2025
Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning Shifeng Xie Aref Einizade Jhony H. Giraldo SSL 58 0 0 29 May 2025
Directed Graph Grammars for Sequence-based Learning Michael Sun Orion Foo Gang Liu Wojciech Matusik Jie Chen GNN AI4CE 49 0 0 29 May 2025
Improving the Effective Receptive Field of Message-Passing Neural Networks Shahaf E. Finder Ron Shapira Weber Moshe Eliasof Oren Freifeld Eran Treister 74 0 0 29 May 2025
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs Yilong Wang Tianxiang Zhao Zongyu Wu Suhang Wang OOD AI4CE 51 2 0 29 May 2025
NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing Wei Li Mengcheng Lan Jiaxing Xu Yiping Ke 36 0 0 28 May 2025
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory Dominik Fuchsgruber Tom Wollschlager Johannes Bordne Stephan Günnemann 68 0 0 28 May 2025
Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning Yin Hua Zhiqiang Liu M. Ben-Chen Zheng Fang Chi-Man Wong Lingxiao Li Chi Man Vong Ningyu Zhang Wen Zhang ReLM LRM 55 0 0 28 May 2025
Graph-Assisted Culturally Adaptable Idiomatic Translation for Indic Languages Pratik Rakesh Singh Kritarth Prasad Mohammadi Zaki Pankaj Wasnik 39 0 0 28 May 2025
Directed Homophily-Aware Graph Neural Network Aihu Zhang Jiaxing Xu Mengcheng Lan Shili Xiang Yiping Ke 56 0 0 28 May 2025
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block Dooho Lee Myeong Kong Sagad Hamid Cheonwoo Lee Jaemin Yoo 44 0 0 27 May 2025
AITEE -- Agentic Tutor for Electrical Engineering Christopher Knievel Alexander Bernhardt Christian Bernhardt 27 0 0 27 May 2025
A Physics-Augmented GraphGPS Framework for the Reconstruction of 3D Riemann Problems from Sparse Data Rami Cassia Rich Kerswell AI4CE 61 0 0 27 May 2025
P-DROP: Poisson-Based Dropout for Graph Neural Networks Hyunsik Yun 17 0 0 27 May 2025
Learnable Kernel Density Estimation for Graphs Xudong Wang Ziheng Sun Chris Ding Jicong Fan 59 0 0 27 May 2025
Identifying Super Spreaders in Multilayer Networks Michał Czuba Mateusz Stolarski Adam Piróg Piotr Bielak Piotr Bródka 33 0 0 27 May 2025
G-DReaM: Graph-conditioned Diffusion Retargeting across Multiple Embodiments Zhefeng Cao Ben Liu S. Li Wei Zhang Hua Chen DiffM 114 0 0 27 May 2025
Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Sen Bai Chunqi Yang Xin Bai Xin Zhang Z. L. Jiang 28 0 0 27 May 2025
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework Mustafa Hajij Lennart Bastian Sarah Osentoski Hardik Kabaria John L. Davenport ... Joseph G. Kocheemoolayil Nastaran Shahmansouri Adrian Lew Theodore Papamarkou Tolga Birdal 72 0 0 27 May 2025
'Hello, World!': Making GNNs Talk with LLMs Sunwoo Kim Soo Yong Lee Jaemin Yoo Kijung Shin AI4CE 52 0 0 27 May 2025
UQLegalAI@COLIEE2025: Advancing Legal Case Retrieval with Large Language Models and Graph Neural Networks Yanran Tang Ruihong Qiu Zi Huang AILaw ELM 20 0 0 27 May 2025
Learning for Dynamic Combinatorial Optimization without Training Data Yiqiao Liao Farinaz Koushanfar Parinaz Naghizadeh GNN AI4CE 112 0 0 26 May 2025
OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction Juntong Wang Xiyuan Wang Muhan Zhang 114 0 0 26 May 2025
Language Model-Enhanced Message Passing for Heterophilic Graph Learning Wenjun Wang Dawei Cheng 47 0 0 26 May 2025
Graph Wave Networks Juwei Yue Haikuo Li Jiawei Sheng Yihan Guo Xinghua Zhang Chuan Zhou Tingwen Liu Li Guo 248 1 0 26 May 2025
Disentangled Human Body Representation Based on Unsupervised Semantic-Aware Learning Lu Wang Xishuai Peng Siyi Zhou 3DH DRL 73 0 0 25 May 2025
Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection Xiping Li Xiangyu Dong Xingyi Zhang Kun Xie Yuanhao Feng Bo Wang Guilin Li Wuxiong Zeng Xiujun Shu Sibo Wang 55 0 0 25 May 2025
Interpretable Graph Learning Over Sets of Temporally-Sparse Data Andrea Zerio Maya Bechler-Speicher Maor Huri Marie Vibeke Vestergaard Ran Gilad-Bachrach Tine Jess Samir Bhatt Aleksejs Sazonovs 44 0 0 25 May 2025
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering Xurong Liang Tong Chen Wei Yuan Hongzhi Yin 37 0 0 25 May 2025
Learn Beneficial Noise as Graph Augmentation Siqi Huang Yanchen Xu Hongyuan Zhang Xuelong Li 46 2 0 25 May 2025
G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning Xiaojun Guo Ang Li Yifei Wang Stefanie Jegelka Yisen Wang OffRL ReLM LRM 101 0 0 24 May 2025
Using Large Language Models to Tackle Fundamental Challenges in Graph Learning: A Comprehensive Survey Mengran Li Pengyu Zhang Wenbin Xing Yijia Zheng Klim Zaporojets ... Jia Hu Xiaolei Ma Zhiyuan Liu Paul Groth Marcel Worring AI4CE 151 0 0 24 May 2025
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective Di Jin Jingyi Cao Xiaobao Wang Bingdao Feng Dongxiao He Longbiao Wang Jianwu Dang 91 0 0 23 May 2025
Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Graph Qiaosheng Chen Kaijia Huang Xiao Zhou Weiqing Luo Yuanning Cui Gong Cheng CVBM VLM 87 0 0 23 May 2025
DAM-GT: Dual Positional Encoding-Based Attention Masking Graph Transformer for Node Classification Chenyang Li Jinsong Chen John E. Hopcroft Kun He 53 0 0 23 May 2025
Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling Bryan Wong Jong Woo Kim Huazhu Fu Mun Yi VLM 228 0 0 23 May 2025
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding Manuel Lecha Andrea Cavallo Francesca Dominici Ran Levi Alessio Del Bue Elvin Isufi Pietro Morerio Claudio Battiloro AI4CE 109 0 0 23 May 2025