Cover Image

Energy-Balanced Hyperspherical Graph Representation Learning via Structural Binding and Entropic Dispersion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Rui, Guo, Junjun, Wang, Hongbin, Xiang, Yan, Xian, Yantuan, Yu, Zhengtao
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Community Detection in Large-Scale Complex Networks via Structural Entropy Game
by: Xian, Yantuan, et al.
Published: (2025)

Constrained Machine Learning Through Hyperspherical Representation
by: Signorelli, Gaetano, et al.
Published: (2025)

Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA
by: Smerkous, David, et al.
Published: (2024)

Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning
by: Ni, Hang, et al.
Published: (2025)

Hyper-SET: Designing Transformers via Hyperspherical Energy Minimization
by: Hu, Yunzhe, et al.
Published: (2025)

nGPT: Normalized Transformer with Representation Learning on the Hypersphere
by: Loshchilov, Ilya, et al.
Published: (2024)

Hyperspherical Forward-Forward with Prototypical Representations
by: Sarode, Shalini, et al.
Published: (2026)

Learning Hyperspherical Time-Frequency Representations for Time-Series Out-of-Distribution Detection
by: Lunardi, Willian T., et al.
Published: (2026)

Class-Balanced and Reinforced Active Learning on Graphs
by: Yu, Chengcheng, et al.
Published: (2024)

GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance
by: Wang, Zhixiao, et al.
Published: (2026)

Uncertainty Estimation via Hyperspherical Confidence Mapping
by: Choi, Eunseo, et al.
Published: (2026)

Hyperspherical Normalization for Scalable Deep Reinforcement Learning
by: Lee, Hojoon, et al.
Published: (2025)

Unsupervised Graph Clustering with Deep Structural Entropy
by: Zhang, Jingyun, et al.
Published: (2025)

Concept Factorization via Self-Representation and Adaptive Graph Structure Learning
by: Yang, Zhengqin, et al.
Published: (2025)

Graph Structure Refinement with Energy-based Contrastive Learning
by: Zeng, Xianlin, et al.
Published: (2024)

Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere
by: Ju, Li, et al.
Published: (2025)

Deep Orthogonal Hypersphere Compression for Anomaly Detection
by: Zhang, Yunhe, et al.
Published: (2023)

Entropic Auto-Encoding via Implicit Free-Energy Minimization
by: Aliahmadi, Hazhir, et al.
Published: (2026)

Angular Regularization for Positive-Unlabeled Learning on the Hypersphere
by: Sevetlidis, Vasileios, et al.
Published: (2025)

GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance
by: Zhu, Chaofan, et al.
Published: (2025)

O$n$ Learning Deep O($n$)-Equivariant Hyperspheres
by: Melnyk, Pavlo, et al.
Published: (2023)

TerraBind: Fast and Accurate Binding Affinity Prediction through Coarse Structural Representations
by: Rossi, Matteo, et al.
Published: (2026)

HYPO: Hyperspherical Out-of-Distribution Generalization
by: Bai, Haoyue, et al.
Published: (2024)

Molecular Graph Representation Learning via Structural Similarity Information
by: Yao, Chengyu, et al.
Published: (2024)

Multilingual Generative Retrieval via Cross-lingual Semantic Compression
by: Huang, Yuxin, et al.
Published: (2025)

Efficient Graph Optimization via Distance-Aware Graph Representation Learning
by: Liu, Dong, et al.
Published: (2024)

DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing
by: Sun, Li, et al.
Published: (2024)

Rethinking Language Model Scaling under Transferable Hypersphere Optimization
by: Ren, Liliang, et al.
Published: (2026)

Energy-guided Entropic Neural Optimal Transport
by: Mokrov, Petr, et al.
Published: (2023)

A Survey of Generalization of Graph Anomaly Detection: From Transfer Learning to Foundation Models
by: Pan, Junjun, et al.
Published: (2025)

Answer First, Reason Later: Aligning Search Relevance via Mode-Balanced Reinforcement Learning
by: Zhang, Shijie, et al.
Published: (2026)

Probability Passing for Graph Neural Networks: Graph Structure and Representations Joint Learning
by: Wang, Ziyan, et al.
Published: (2024)

Neural Tractability via Structure: Learning-Augmented Algorithms for Graph Combinatorial Optimization
by: Li, Jialiang, et al.
Published: (2025)

Weighted Graph Clustering via Scale Contraction and Graph Structure Learning
by: Liu, Haobing, et al.
Published: (2026)

Structure-Aware Contrastive Learning with Fine-Grained Binding Representations for Drug Discovery
by: Lan, Jing, et al.
Published: (2025)

On the Safety of Graph Representation Learning
by: Guo, Xiaoguang, et al.
Published: (2026)

Uncertainty-Aware Graph Structure Learning
by: Han, Shen, et al.
Published: (2025)

Relational Prompt-based Pre-trained Language Models for Social Event Detection
by: Li, Pu, et al.
Published: (2024)

CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations
by: Chen, Yili, et al.
Published: (2023)

Entropic Causal Inference: Graph Identifiability
by: Compton, Spencer, et al.
Published: (2025)