Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 4,462 papers shown

Title
GRAIN: Exact Graph Reconstruction from Gradients Maria Drencheva Ivo Petrov Maximilian Baader Dimitar I. Dimitrov Martin Vechev FedML 64 0 0 03 Mar 2025
m4: A Learned Flow-level Network Simulator Chenning Li Anton A. Zabreyko Arash Nasr-Esfahany Kevin Zhao Prateesh Goyal Mohammad Alizadeh Thomas Anderson 37 0 0 03 Mar 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection Yao Zou Dawei Cheng 57 1 0 03 Mar 2025
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection Md Abrar Jahin Shri Kiran Srinivasan M. F. Mridha Raihan Kabir Md. Rashedul Islam Yutaka Watanobe Hezerul Abdul Karim 53 0 0 02 Mar 2025
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings Sidharth Agarwal Tanishq Dubey Shubham Gupta Srikanta J. Bedathur AI4TS AI4CE 42 0 0 02 Mar 2025
Edge Prompt Tuning for Graph Neural Networks Xingbo Fu Yinhan He Jundong Li 54 1 0 02 Mar 2025
Performance Heterogeneity in Graph Neural Networks: Lessons for Architecture Design and Preprocessing Lukas Fesser Melanie Weber 38 0 0 01 Mar 2025
Channel-Attentive Graph Neural Networks Tuğrul Hasan Karabulut İnci M. Baytaş 55 0 0 01 Mar 2025
Large Engagement Networks for Classifying Coordinated Campaigns and Organic Twitter Trends Atul Anand Gopalakrishnan Jakir Hossain Tugrulcan Elmas Ahmet Erdem Sariyuce GNN 38 0 0 01 Mar 2025
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning Amadou S. Sangare Nicolas Dunou Jhony H. Giraldo Fragkiskos D. Malliaros SSL 69 0 0 28 Feb 2025
A Survey of Link Prediction in Temporal Networks Jiafeng Xiong Ahmad Zareie Rizos Sakellariou AI4TS AI4CE 47 1 0 28 Feb 2025
Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights Haicheng Liao Chengyue Wang Kaiqun Zhu Yilong Ren Bolin Gao Shengbo Eben Li Chengzhong Xu Zehan Li 77 2 0 27 Feb 2025
Accurate and Scalable Graph Neural Networks via Message Invariance Zhihao Shi Jie Wang Zhiwei Zhuang Xize Liang Bin Li Feng Wu 59 1 0 27 Feb 2025
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation Yansen Wang Xinnan Dai Wenqi Fan Yao Ma 83 1 0 26 Feb 2025
Joint Optimal Transport and Embedding for Network Alignment Qi Yu Zhichen Zeng Yuchen Yan Lei Ying R. Srikant Yangqiu Song OT 355 1 0 26 Feb 2025
Corporate Fraud Detection in Rich-yet-Noisy Financial Graph Shiqi Wang Zhibo Zhang Libing Fang Cam-Tu Nguyen Wenzhon Li 71 0 0 26 Feb 2025
Neural Network Graph Similarity Computation Based on Graph Fusion Zenghui Chang Yiqiao Zhang Hong Cai Chen GNN 78 0 0 25 Feb 2025
Structural Alignment Improves Graph Test-Time Adaptation Hans Hao-Hsun Hsu Shikun Liu Han Zhao Pan Li OOD TTA 71 0 0 25 Feb 2025
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks R. Waleffe Devesh Sarda J. Mohoney Emmanouil-Vasileios Vlatakis-Gkaragkounis Theodoros Rekatsinas Shivaram Venkataraman GNN 69 0 0 25 Feb 2025
Are GNNs doomed by the topology of their input graph? Amine Mohamed Aboussalah Abdessalam Ed-dib 41 0 0 25 Feb 2025
Scale-Free Graph-Language Models Jianglin Lu Yixuan Liu Yitian Zhang Y. Fu 73 1 0 24 Feb 2025
Graph Neural Diffusion Networks for Semi-supervised Learning Wei Ye Zexi Huang Yunqi Hong Ambuj K. Singh GNN 84 3 0 24 Feb 2025
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning Yang Chen Bin Zhou AAML FedML 45 0 0 24 Feb 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning Xingbo Fu Zihan Chen Yinhan He Song Wang Binchi Zhang Chen Chen Jundong Li OOD FedML 69 1 0 24 Feb 2025
Geometric Properties and Graph-Based Optimization of Neural Networks: Addressing Non-Linearity, Dimensionality, and Scalability Michael Wienczkowski Addisu Desta Paschal Ugochukwu AI4CE GNN 46 0 0 24 Feb 2025
GiGL: Large-Scale Graph Neural Networks at Snapchat Tong Zhao Yozen Liu Matthew Kolodner Kyle Montemayor Elham Ghazizadeh ... Serim Park Peicheng Yu Jun Yu Shubham Vij Neil Shah GNN 65 0 0 24 Feb 2025
Detecting Code Vulnerabilities with Heterogeneous GNN Training Yu Luo Weifeng Xu Dianxiang Xu 46 0 0 24 Feb 2025
Scalable Graph Condensation with Evolving Capabilities Shengbo Gong Mohammad Hashemi Juntong Ni Carl Yang Wei-dong Jin 84 2 0 24 Feb 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling Shu Wu Zekun Li Yunyue Su Zeyu Cui Xiaoyu Zhang Liang Wang 77 22 0 24 Feb 2025
Understanding the Design Principles of Link Prediction in Directed Settings Jun Zhai Muberra Ozmen Thomas Markovich AI4CE 45 0 0 24 Feb 2025
Learning Backbones: Sparsifying Graphs through Zero Forcing for Effective Graph-Based Learning O. Ahmad Anwar Said Mudassir Shabbir X. Koutsoukos W. Abbas 67 0 0 24 Feb 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 100 2 0 24 Feb 2025
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations Laurin Lux Alexander H. Berger Maria Romeo Tricas Alaa E. Fayed Shri Kiran Srinivasan Linus Kreitner Jonas Weidner M. Menten Daniel Rueckert Johannes C. Paetzold 51 2 0 23 Feb 2025
MAPN: Enhancing Heterogeneous Sparse Graph Representation by Mamba-based Asynchronous Aggregation Xuqi Mao Zhenying He Xiaoyang Sean Wang 65 0 0 23 Feb 2025
FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis Yilun Zheng Sha Li Fangkun Wu Yang Ziyi Lin Hongchao ... Ziming Wang Jinxuan Chen Sitao Luan Jiahao Xu Lihui Chen 55 0 0 23 Feb 2025
Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network Dongsheng Chen Yu Feng Xun Li Mingya Qu Peng Luo Liqiu Meng HAI AI4CE 57 0 0 22 Feb 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings Asiri Wijesinghe Hao Zhu Piotr Koniusz 63 0 0 22 Feb 2025
Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling Heng Chang Liang Gu Cheng Hu Zhinan Zhang Hong Zhu Yuhui Xu Yuan Fang Zhen Chen 61 0 0 22 Feb 2025
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths Xuqi Mao Zhenying He Xiaoyang Sean Wang 49 1 0 22 Feb 2025
Co-evolution-based Metal-binding Residue Prediction with Graph Neural Networks Sayedmohammadreza Rastegari Sina Tabakhi Xianyuan Liu Wei Sang Haiping Lu AI4CE 46 0 0 22 Feb 2025
Advanced Text Analytics -- Graph Neural Network for Fake News Detection in Social Media Anantram Patel Vijay Kumar Sutrakar 54 0 0 22 Feb 2025
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators N. Gabriel N. Johnson George Em Karniadakis AI4CE 59 0 0 21 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tönshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 107 2 0 21 Feb 2025
Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks Mayar Lotfy Anna Alperovich Tommaso Giannantonio Bjorn Barz Xiaohan Zhang ... Nassir Navab F. Boehm Carolin Schwamborn Thomas K. Hoffmann PatrickJ. Schuler 107 1 0 21 Feb 2025
Sampling-based Distributed Training with Message Passing Neural Network P. Kakka Sheel Nidhan Rishikesh Ranade Jay Pathak J. MacArt GNN 88 3 0 20 Feb 2025
Towards Invariance to Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 72 1 0 20 Feb 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations Jie Chen Zhiming Li Hua Mao Wai Lok Woo Xi Peng 86 0 0 20 Feb 2025
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective Wentao Yu FedML 67 0 0 20 Feb 2025
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs Yushi Feng Tsai Hor Chan Guosheng Yin Lequan Yu 64 1 0 20 Feb 2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks Nemat Gholinejad M. H. Chehreghani 107 3 0 20 Feb 2025