Clarify Confused Nodes via Separated Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Jiajun, Gong, Shengbo, Chen, Xuanze, Xie, Chenxuan, Yu, Shanqing, Xuan, Qi, Yang, Xiaoniu |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PathMLP: Smooth Path Towards High-order Homophily
by: Zhou, Jiajun, et al.
Published: (2023)
by: Zhou, Jiajun, et al.
Published: (2023)
Rethinking Graph Transformer Architecture Design for Node Classification
by: Zhou, Jiajun, et al.
Published: (2024)
by: Zhou, Jiajun, et al.
Published: (2024)
Mixture of Message Passing Experts with Routing Entropy Regularization for Node Classification
by: Chen, Xuanze, et al.
Published: (2025)
by: Chen, Xuanze, et al.
Published: (2025)
Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision
by: Jin, Chenxiang, et al.
Published: (2024)
by: Jin, Chenxiang, et al.
Published: (2024)
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification
by: Chen, Xuanze, et al.
Published: (2024)
by: Chen, Xuanze, et al.
Published: (2024)
Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection
by: Zhou, Jiajun, et al.
Published: (2024)
by: Zhou, Jiajun, et al.
Published: (2024)
Data Augmentation on Graphs: A Technical Survey
by: Zhou, Jiajun, et al.
Published: (2022)
by: Zhou, Jiajun, et al.
Published: (2022)
Learning How Much to Think: Difficulty-Aware Dynamic MoEs for Graph Node Classification
by: Zhou, Jiajun, et al.
Published: (2026)
by: Zhou, Jiajun, et al.
Published: (2026)
CrossHGL: A Text-Free Foundation Model for Cross-Domain Heterogeneous Graph Learning
by: Chen, Xuanze, et al.
Published: (2026)
by: Chen, Xuanze, et al.
Published: (2026)
Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification
by: Bei, Yuanchen, et al.
Published: (2024)
by: Bei, Yuanchen, et al.
Published: (2024)
Network Anomaly Traffic Detection via Multi-view Feature Fusion
by: Hao, Song, et al.
Published: (2024)
by: Hao, Song, et al.
Published: (2024)
Lateral Movement Detection via Time-aware Subgraph Classification on Authentication Logs
by: Zhou, Jiajun, et al.
Published: (2024)
by: Zhou, Jiajun, et al.
Published: (2024)
Scalable Graph Condensation with Evolving Capabilities
by: Gong, Shengbo, et al.
Published: (2025)
by: Gong, Shengbo, et al.
Published: (2025)
Interpretable and Adaptive Node Classification on Heterophilic Graphs via Combinatorial Scoring and Hybrid Learning
by: Vahidi, Soroush
Published: (2025)
by: Vahidi, Soroush
Published: (2025)
Subgraph Networks Based Contrastive Learning
by: Wang, Jinhuan, et al.
Published: (2023)
by: Wang, Jinhuan, et al.
Published: (2023)
Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification
by: Wang, Yancheng, et al.
Published: (2024)
by: Wang, Yancheng, et al.
Published: (2024)
Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs
by: Cui, Hang, et al.
Published: (2024)
by: Cui, Hang, et al.
Published: (2024)
Ads Supply Personalization via Doubly Robust Learning
by: Shi, Wei, et al.
Published: (2024)
by: Shi, Wei, et al.
Published: (2024)
Lying Graph Convolution: Learning to Lie for Node Classification Tasks
by: Castellana, Daniele
Published: (2024)
by: Castellana, Daniele
Published: (2024)
Exact Matching in Correlated Networks with Node Attributes for Improved Community Recovery
by: Yang, Joonhyuk, et al.
Published: (2025)
by: Yang, Joonhyuk, et al.
Published: (2025)
BANGS: Game-Theoretic Node Selection for Graph Self-Training
by: Wang, Fangxin, et al.
Published: (2024)
by: Wang, Fangxin, et al.
Published: (2024)
H$^3$GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning
by: Xue, Rui, et al.
Published: (2025)
by: Xue, Rui, et al.
Published: (2025)
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization
by: Wang, Qiyi, et al.
Published: (2025)
by: Wang, Qiyi, et al.
Published: (2025)
Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling
by: Chang, Heng, et al.
Published: (2025)
by: Chang, Heng, et al.
Published: (2025)
Node Classification in Random Trees
by: Nuijten, Wouter W. L., et al.
Published: (2023)
by: Nuijten, Wouter W. L., et al.
Published: (2023)
Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding
by: Jiang, Mengying, et al.
Published: (2024)
by: Jiang, Mengying, et al.
Published: (2024)
Open-World Semi-Supervised Learning for Node Classification
by: Wang, Yanling, et al.
Published: (2024)
by: Wang, Yanling, et al.
Published: (2024)
Preference-driven Knowledge Distillation for Few-shot Node Classification
by: Wei, Xing, et al.
Published: (2025)
by: Wei, Xing, et al.
Published: (2025)
Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
by: Wang, Songbo, et al.
Published: (2025)
by: Wang, Songbo, et al.
Published: (2025)
The Effects of Randomness on the Stability of Node Embeddings
by: Schumacher, Tobias, et al.
Published: (2020)
by: Schumacher, Tobias, et al.
Published: (2020)
Classifying Nodes in Graphs without GNNs
by: Winter, Daniel, et al.
Published: (2024)
by: Winter, Daniel, et al.
Published: (2024)
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability
by: Luan, Sitao, et al.
Published: (2023)
by: Luan, Sitao, et al.
Published: (2023)
Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling
by: Ghosh, Hritaban, et al.
Published: (2024)
by: Ghosh, Hritaban, et al.
Published: (2024)
Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition
by: Xu, Xinjie, et al.
Published: (2022)
by: Xu, Xinjie, et al.
Published: (2022)
Fully-inductive Node Classification on Arbitrary Graphs
by: Zhao, Jianan, et al.
Published: (2024)
by: Zhao, Jianan, et al.
Published: (2024)
Disambiguated Node Classification with Graph Neural Networks
by: Zhao, Tianxiang, et al.
Published: (2024)
by: Zhao, Tianxiang, et al.
Published: (2024)
Generating Human Understandable Explanations for Node Embeddings
by: Shafi, Zohair, et al.
Published: (2024)
by: Shafi, Zohair, et al.
Published: (2024)
Encoder Embedding for General Graph and Node Classification
by: Shen, Cencheng
Published: (2024)
by: Shen, Cencheng
Published: (2024)
Community Detection Guarantees Using Embeddings Learned by Node2Vec
by: Davison, Andrew, et al.
Published: (2023)
by: Davison, Andrew, et al.
Published: (2023)
A Probabilistic Model for Node Classification in Directed Graphs
by: Huerta, Diego, et al.
Published: (2025)
by: Huerta, Diego, et al.
Published: (2025)
Similar Items
-
PathMLP: Smooth Path Towards High-order Homophily
by: Zhou, Jiajun, et al.
Published: (2023) -
Rethinking Graph Transformer Architecture Design for Node Classification
by: Zhou, Jiajun, et al.
Published: (2024) -
Mixture of Message Passing Experts with Routing Entropy Regularization for Node Classification
by: Chen, Xuanze, et al.
Published: (2025) -
Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision
by: Jin, Chenxiang, et al.
Published: (2024) -
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification
by: Chen, Xuanze, et al.
Published: (2024)