Efficient Heterogeneous Graph Learning via Random Projection
Fuente:
arXiv
Guardado en:
| Autores principales: | Hu, Jun, Hooi, Bryan, He, Bingsheng |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning
por: Hu, Jun, et al.
Publicado: (2025)
por: Hu, Jun, et al.
Publicado: (2025)
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
por: Hu, Jun, et al.
Publicado: (2024)
por: Hu, Jun, et al.
Publicado: (2024)
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering
por: Hu, Jun, et al.
Publicado: (2022)
por: Hu, Jun, et al.
Publicado: (2022)
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-training
por: He, Yufei, et al.
Publicado: (2024)
por: He, Yufei, et al.
Publicado: (2024)
Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
por: Li, Yuan, et al.
Publicado: (2026)
por: Li, Yuan, et al.
Publicado: (2026)
Partitioning Message Passing for Graph Fraud Detection
por: Zhuo, Wei, et al.
Publicado: (2024)
por: Zhuo, Wei, et al.
Publicado: (2024)
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs
por: Li, Yuan, et al.
Publicado: (2025)
por: Li, Yuan, et al.
Publicado: (2025)
HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model
por: Pan, Zhenyu, et al.
Publicado: (2024)
por: Pan, Zhenyu, et al.
Publicado: (2024)
Bi-directional Curriculum Learning for Graph Anomaly Detection: Dual Focus on Homogeneity and Heterogeneity
por: Hao, Yitong, et al.
Publicado: (2025)
por: Hao, Yitong, et al.
Publicado: (2025)
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation
por: Qin, Meng, et al.
Publicado: (2025)
por: Qin, Meng, et al.
Publicado: (2025)
Homophily-aware Heterogeneous Graph Contrastive Learning
por: Wang, Haosen, et al.
Publicado: (2025)
por: Wang, Haosen, et al.
Publicado: (2025)
Random Walk Diffusion for Efficient Large-Scale Graph Generation
por: Bernecker, Tobias, et al.
Publicado: (2024)
por: Bernecker, Tobias, et al.
Publicado: (2024)
Heterogeneous Social Event Detection via Hyperbolic Graph Representations
por: Qiu, Zitai, et al.
Publicado: (2023)
por: Qiu, Zitai, et al.
Publicado: (2023)
Out-of-Distribution Detection in Heterogeneous Graphs via Energy Propagation
por: Yin, Tao, et al.
Publicado: (2025)
por: Yin, Tao, et al.
Publicado: (2025)
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
por: Gastinger, Julia, et al.
Publicado: (2024)
por: Gastinger, Julia, et al.
Publicado: (2024)
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
por: Jiang, Ruobing, et al.
Publicado: (2025)
por: Jiang, Ruobing, et al.
Publicado: (2025)
Differentiable Tripartite Modularity for Clustering Heterogeneous Graphs
por: Hurpeau, Benoît
Publicado: (2026)
por: Hurpeau, Benoît
Publicado: (2026)
Heterogeneous Graph Neural Network on Semantic Tree
por: Guan, Mingyu, et al.
Publicado: (2024)
por: Guan, Mingyu, et al.
Publicado: (2024)
LEGO-Learn: Label-Efficient Graph Open-Set Learning
por: Xu, Haoyan, et al.
Publicado: (2024)
por: Xu, Haoyan, et al.
Publicado: (2024)
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning
por: Li, Xiang, et al.
Publicado: (2021)
por: Li, Xiang, et al.
Publicado: (2021)
AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening
por: Kataria, Mohit, et al.
Publicado: (2025)
por: Kataria, Mohit, et al.
Publicado: (2025)
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
por: Epasto, Alessandro, et al.
Publicado: (2022)
por: Epasto, Alessandro, et al.
Publicado: (2022)
Efficient and Privacy-Preserved Link Prediction via Condensed Graphs
por: Long, Yunbo, et al.
Publicado: (2025)
por: Long, Yunbo, et al.
Publicado: (2025)
InfraredGP: Efficient Graph Partitioning via Spectral Graph Neural Networks with Negative Corrections
por: Qin, Meng, et al.
Publicado: (2025)
por: Qin, Meng, et al.
Publicado: (2025)
From Graphs to Hypergraphs: Hypergraph Projection and its Remediation
por: Wang, Yanbang, et al.
Publicado: (2024)
por: Wang, Yanbang, et al.
Publicado: (2024)
Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach
por: Gao, Hang, et al.
Publicado: (2024)
por: Gao, Hang, et al.
Publicado: (2024)
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers
por: Besta, Maciej, et al.
Publicado: (2023)
por: Besta, Maciej, et al.
Publicado: (2023)
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
por: Kouchly, Jonathan, et al.
Publicado: (2025)
por: Kouchly, Jonathan, et al.
Publicado: (2025)
Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes
por: Zhao, Yige, et al.
Publicado: (2023)
por: Zhao, Yige, et al.
Publicado: (2023)
Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting
por: Zheng, Yufan, et al.
Publicado: (2024)
por: Zheng, Yufan, et al.
Publicado: (2024)
Model Selection with Model Zoo via Graph Learning
por: Li, Ziyu, et al.
Publicado: (2024)
por: Li, Ziyu, et al.
Publicado: (2024)
Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding
por: Park, Jongmin, et al.
Publicado: (2025)
por: Park, Jongmin, et al.
Publicado: (2025)
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning
por: Shen, Zhixiang, et al.
Publicado: (2024)
por: Shen, Zhixiang, et al.
Publicado: (2024)
Hub-aware Random Walk Graph Embedding Methods for Classification
por: Tomčić, Aleksandar, et al.
Publicado: (2022)
por: Tomčić, Aleksandar, et al.
Publicado: (2022)
H$^2$GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs
por: Nguyen, Trung-Kien, et al.
Publicado: (2025)
por: Nguyen, Trung-Kien, et al.
Publicado: (2025)
Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling
por: Ghosh, Hritaban, et al.
Publicado: (2024)
por: Ghosh, Hritaban, et al.
Publicado: (2024)
NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification
por: Hu, Jun, et al.
Publicado: (2025)
por: Hu, Jun, et al.
Publicado: (2025)
Hyperbolic Heterogeneous Graph Transformer
por: Park, Jongmin, et al.
Publicado: (2026)
por: Park, Jongmin, et al.
Publicado: (2026)
HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness
por: Zhao, Zeyuan, et al.
Publicado: (2023)
por: Zhao, Zeyuan, et al.
Publicado: (2023)
When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark
por: Lin, Junhong, et al.
Publicado: (2024)
por: Lin, Junhong, et al.
Publicado: (2024)
Ejemplares similares
-
Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning
por: Hu, Jun, et al.
Publicado: (2025) -
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
por: Hu, Jun, et al.
Publicado: (2024) -
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering
por: Hu, Jun, et al.
Publicado: (2022) -
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-training
por: He, Yufei, et al.
Publicado: (2024) -
Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
por: Li, Yuan, et al.
Publicado: (2026)