Cover Image

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gu, Gyeongmin, Jeon, Minseo, Song, Hyun-Je, Jung, Jinhong
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs
by: Wang, Hewen, et al.
Published: (2025)

Adversarial Robustness of Link Sign Prediction in Signed Graphs
by: Zhou, Jialong, et al.
Published: (2024)

Self-Explainable Graph Transformer for Link Sign Prediction
by: Li, Lu, et al.
Published: (2024)

Dynamic Link Prediction with Temporally Enhanced Signed Graph Neural Networks
by: Regier, Derek, et al.
Published: (2026)

Graph Spring Neural ODEs for Link Sign Prediction
by: Rehmann, Andrin, et al.
Published: (2024)

Lightweight Transformer for EEG Classification via Balanced Signed Graph Algorithm Unrolling
by: Yao, Junyi, et al.
Published: (2025)

Whole-Graph Representation Learning For the Classification of Signed Networks
by: Cecillon, Noé, et al.
Published: (2024)

Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs
by: Wang, Hewen, et al.
Published: (2024)

STERLING: Synergistic Representation Learning on Bipartite Graphs
by: Jing, Baoyu, et al.
Published: (2023)

EfficientSign: An Attention-Enhanced Lightweight Architecture for Indian Sign Language Recognition
by: Gupta, Rishabh, et al.
Published: (2026)

Signed Graph Learning: Algorithms and Theory
by: Karaaslanli, Abdullah, et al.
Published: (2025)

Adversarial Signed Graph Learning with Differential Privacy
by: Ke, Haobin, et al.
Published: (2025)

AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification
by: Kim, Minjun, et al.
Published: (2025)

Personalized Ranking on Cascading Behavior Graphs for Accurate Multi-Behavior Recommendation
by: Ko, Geonwoo, et al.
Published: (2025)

Certified Signed Graph Unlearning
by: Zhao, Junpeng, et al.
Published: (2025)

DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
by: Zhang, Zeyu, et al.
Published: (2024)

SignBLEU: Automatic Evaluation of Multi-channel Sign Language Translation
by: Kim, Jung-Ho, et al.
Published: (2024)

CSGDN: Contrastive Signed Graph Diffusion Network for Predicting Crop Gene-phenotype Associations
by: Pan, Yiru, et al.
Published: (2024)

AEGIS: Authentic Edge Growth In Sparsity for Link Prediction in Edge-Sparse Bipartite Knowledge Graphs
by: Liu, Hugh Xuechen, et al.
Published: (2025)

Sign Rank Limitations for Inner Product Graph Decoders
by: Lee, Su Hyeong, et al.
Published: (2024)

Mitigating Degree Bias in Signed Graph Neural Networks
by: He, Fang, et al.
Published: (2024)

KAN KAN Buff Signed Graph Neural Networks?
by: Shebaro, Muhieddine, et al.
Published: (2025)

Masks, Signs, And Learning Rate Rewinding
by: Gadhikar, Advait, et al.
Published: (2024)

Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
by: Liang, Langzhang, et al.
Published: (2024)

Radiogenomic Bipartite Graph Representation Learning for Alzheimer's Disease Detection
by: Raj, Aditya, et al.
Published: (2025)

Efficient Learning of Balanced Signed Graphs via Iterative Linear Programming
by: Yokota, Haruki, et al.
Published: (2024)

Efficient Learning of Balanced Signed Graphs via Sparse Linear Programming
by: Yokota, Haruki, et al.
Published: (2025)

Effective Clustering on Large Attributed Bipartite Graphs
by: Yang, Renchi, et al.
Published: (2024)

A Signed Graph Approach to Understanding and Mitigating Oversmoothing in GNNs
by: Wang, Jiaqi, et al.
Published: (2025)

Signs of the Past, Patterns of the Present: On the Automatic Classification of Old Babylonian Cuneiform Signs
by: Verwimp, Eli, et al.
Published: (2025)

WBT-BGRL: A Non-Contrastive Weighted Bipartite Link Prediction Model for Inductive Learning
by: Quispe, Joel Frank Huarayo, et al.
Published: (2025)

SGPT: Few-Shot Prompt Tuning for Signed Graphs
by: Zhai, Zian, et al.
Published: (2024)

Toward Robust Signed Graph Learning through Joint Input-Target Denoising
by: Wu, Junran, et al.
Published: (2025)

The Signed Two-Space Proximity Model for Learning Representations in Protein-Protein Interaction Networks
by: Nakis, Nikolaos, et al.
Published: (2025)

Enhancing Signed Graph Neural Networks through Curriculum-Based Training
by: Zhang, Zeyu, et al.
Published: (2023)

Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
by: Jin, Richeng, et al.
Published: (2020)

Prediction of COPD Using Machine Learning, Clinical Summary Notes, and Vital Signs
by: Orangi-Fard, Negar
Published: (2024)

A Survey on Signed Graph Embedding: Methods and Applications
by: Ghosh, Shrabani
Published: (2024)

SDG-MoE: Signed Debate Graph Mixture-of-Experts
by: Kulibaba, Stepan, et al.
Published: (2026)

A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction
by: Sung, Jinkyu, et al.
Published: (2026)