Copertina

Geometric Evolution Graph Convolutional Networks: Enhancing Graph Representation Learning via Ricci Flow

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ma, Jicheng, Yang, Yunyan, Zhao, Juan, Zhao, Liang
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

An Efficient Entropy Flow on Weighted Graphs: Theory and Applications
di: Zhao, Juan, et al.
Pubblicazione: (2026)

Core detection via Ricci curvature flows on weighted graphs
di: Zhao, Juan, et al.
Pubblicazione: (2025)

Finding core subgraphs of directed graphs via discrete Ricci curvature flow
di: Zhao, Juan, et al.
Pubblicazione: (2025)

Graph Pooling via Ricci Flow
di: Feng, Amy, et al.
Pubblicazione: (2024)

Community detection of hypergraphs by Ricci flow
di: Tian, Yulu, et al.
Pubblicazione: (2025)

A modified Ricci flow on arbitrary weighted graph
di: Ma, Jicheng, et al.
Pubblicazione: (2024)

Piecewise-linear Ricci curvature flows on weighted graphs
di: Ma, Jicheng, et al.
Pubblicazione: (2025)

Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
di: Wang, Ling, et al.
Pubblicazione: (2024)

Graph Edge Representation via Tensor Product Graph Convolutional Representation
di: Jiang, Bo, et al.
Pubblicazione: (2024)

Learning Dynamic Graphs via Tensorized and Lightweight Graph Convolutional Networks
di: Han, Minglian
Pubblicazione: (2025)

Graph Topology Information Enhanced Heterogeneous Graph Representation Learning
di: Zhao, He, et al.
Pubblicazione: (2026)

RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs
di: Sun, Zhongtian, et al.
Pubblicazione: (2025)

Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning
di: Wang, Ling, et al.
Pubblicazione: (2024)

Evolution of weights on a connected finite graph
di: Ma, Jicheng, et al.
Pubblicazione: (2024)

Enhancing Epidemic Forecasting: Evaluating the Role of Mobility Data and Graph Convolutional Networks
di: Guo, Suhan, et al.
Pubblicazione: (2025)

Time-varying Interaction Graph ODE for Dynamic Graph Representation Learning
di: Wang, Xiaoyi, et al.
Pubblicazione: (2026)

Representation Learning of Geometric Trees
di: Zhang, Zheng, et al.
Pubblicazione: (2024)

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting
di: Zhao, Xinlong, et al.
Pubblicazione: (2025)

Enhancing Graph Representation Learning with Localized Topological Features
di: Yan, Zuoyu, et al.
Pubblicazione: (2025)

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks
di: Wang, Mao, et al.
Pubblicazione: (2025)

ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning
di: Yuan, Chaohao, et al.
Pubblicazione: (2025)

Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks
di: Ancelotti, Amy, et al.
Pubblicazione: (2024)

Enhanced Traffic Flow Prediction with Multi-Segment Fusion Tensor Graph Convolutional Networks
di: Zhang, Wei, et al.
Pubblicazione: (2024)

GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy
di: Peng, Tianhao, et al.
Pubblicazione: (2023)

Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
di: Huang, Zheng, et al.
Pubblicazione: (2024)

Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction
di: Zhong, Yi, et al.
Pubblicazione: (2019)

Tri-Learn Graph Fusion Network for Attributed Graph Clustering
di: Li, Binxiong, et al.
Pubblicazione: (2025)

Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
di: Huang, Jincheng, et al.
Pubblicazione: (2024)

SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks
di: Lu, Weigang, et al.
Pubblicazione: (2021)

Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
di: Zhao, Chu, et al.
Pubblicazione: (2024)

A Novel Unified Extended Matrix for Graph Signal Processing: Theory and Application
di: Zheng, Yunyan, et al.
Pubblicazione: (2025)

Graph Convolutional Network With Pattern-Spatial Interactive and Regional Awareness for Traffic Forecasting
di: Ji, Xinyu, et al.
Pubblicazione: (2025)

Simple Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
di: Zhao, Yanan, et al.
Pubblicazione: (2025)

PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph
di: Yu, Dazhou, et al.
Pubblicazione: (2025)

Network Tomography with Path-Centric Graph Neural Network
di: Hu, Yuntong, et al.
Pubblicazione: (2025)

Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training
di: Xia, Shuyin, et al.
Pubblicazione: (2024)

AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation
di: Liang, Peiyu, et al.
Pubblicazione: (2024)

Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
di: Zhao, Yanan, et al.
Pubblicazione: (2025)

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting
di: Wang, Zekai, et al.
Pubblicazione: (2025)

Photonics-Enhanced Graph Convolutional Networks
di: Wang, Yuan, et al.
Pubblicazione: (2025)