Cover Image

ffstruc2vec: Flat, Flexible and Scalable Learning of Node Representations from Structural Identities

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Heidrich, Mario, Heidemann, Jeffrey, Buchkremer, Rüdiger, de Bobadilla, Gonzalo Wandosell Fernández
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Systematic Evaluation Protocol of Graph-Derived Signals for Tabular Machine Learning
by: Heidrich, Mario, et al.
Published: (2026)

Hyperdimensional Representation Learning for Node Classification and Link Prediction
by: Dalvi, Abhishek, et al.
Published: (2024)

Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning
by: Kim, Dongkwan, et al.
Published: (2022)

Mixture of Experts for Node Classification
by: Shi, Yu, et al.
Published: (2024)

Identifying Key Nodes for the Influence Spread using a Machine Learning Approach
by: Stolarski, Mateusz, et al.
Published: (2024)

Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach
by: Li, Xunkai, et al.
Published: (2025)

Hypergraph-Based Dynamic Graph Node Classification
by: Ma, Xiaoxu, et al.
Published: (2024)

Active Sampling for Node Attribute Completion on Graphs
by: Liu, Benyuan, et al.
Published: (2025)

Open-World Semi-Supervised Learning for Node Classification
by: Wang, Yanling, et al.
Published: (2024)

Rethinking Node-wise Propagation for Large-scale Graph Learning
by: Li, Xunkai, et al.
Published: (2024)

GNN-Based Candidate Node Predictor for Influence Maximization in Temporal Graphs
by: Gautam, Priyanka, et al.
Published: (2025)

LLM-Enhanced Rumor Detection via Virtual Node Induced Edge Prediction
by: Tao, Jiran, et al.
Published: (2026)

Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks
by: Zou, Yiwei, et al.
Published: (2024)

Importance Ranking in Complex Networks via Influence-aware Causal Node Embedding
by: Gao, Jiahui, et al.
Published: (2025)

Multi-perspective Memory Enhanced Network for Identifying Key Nodes in Social Networks
by: Zhang, Qiang, et al.
Published: (2024)

MGL2Rank: Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph Fusion
by: Xu, Ming, et al.
Published: (2023)

Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
by: Chen, Yankai, et al.
Published: (2024)

Flexible Generation of Preference Data for Recommendation Analysis
by: Mungari, Simone, et al.
Published: (2024)

SoMeR: Multi-View User Representation Learning for Social Media
by: Guo, Siyi, et al.
Published: (2024)

A Lightweight Deep Learning-based Model for Ranking Influential Nodes in Complex Networks
by: Ramadhan, Mohammed A., et al.
Published: (2025)

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation
by: Hu, Yaowen, et al.
Published: (2025)

DyG2Vec: Efficient Representation Learning for Dynamic Graphs
by: Alomrani, Mohammad Ali, et al.
Published: (2022)

Critical Nodes Identification in Complex Networks: A Survey
by: Chen, Duxin, et al.
Published: (2025)

Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data
by: Yan, Ziang, et al.
Published: (2025)

Inferring Network Evolutionary History via Structure-State Coupled Learning
by: Xu, En, et al.
Published: (2026)

gpuRDF2vec -- Scalable GPU-based RDF2vec
by: Böckling, Martin, et al.
Published: (2025)

Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification
by: Sun, Henan, et al.
Published: (2023)

REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization
by: Nguyen, Huyen, et al.
Published: (2025)

Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity
by: Li, Dongyue, et al.
Published: (2024)

Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs
by: Zhang, Tianyu, et al.
Published: (2024)

Node Classification via Simplicial Interaction with Augmented Maximal Clique Selection
by: Koo, Eunho, et al.
Published: (2025)

Collaborative QA using Interacting LLMs. Impact of Network Structure, Node Capability and Distributed Data
by: Jain, Adit, et al.
Published: (2025)

SeBot: Structural Entropy Guided Multi-View Contrastive Learning for Social Bot Detection
by: Yang, Yingguang, et al.
Published: (2024)

A GAN Approach for Node Embedding in Heterogeneous Graphs Using Subgraph Sampling
by: Hsu, Hung-Chun, et al.
Published: (2023)

Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
by: Zhao, Huanjing, et al.
Published: (2024)

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

Towards Fair Graph Representation Learning in Social Networks
by: Zhang, Guixian, et al.
Published: (2024)

Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
by: Lu, Qincheng, et al.
Published: (2024)

DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning
by: Wang, Yifan, et al.
Published: (2024)

Population Graph Cross-Network Node Classification for Autism Detection Across Sample Groups
by: Stephens, Anna, et al.
Published: (2024)