Saved in:
| Main Authors: | Xu, Jiaxing, Ni, Jinjie, Ke, Yiping |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2209.00936 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations
by: Lei, Han, et al.
Published: (2025)
by: Lei, Han, et al.
Published: (2025)
$α$-GAN by Rényi Cross Entropy
by: Ding, Ni, et al.
Published: (2025)
by: Ding, Ni, et al.
Published: (2025)
Contrastive Graph Pooling for Explainable Classification of Brain Networks
by: Xu, Jiaxing, et al.
Published: (2023)
by: Xu, Jiaxing, et al.
Published: (2023)
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
by: Zhang, Jiaxing, et al.
Published: (2025)
by: Zhang, Jiaxing, et al.
Published: (2025)
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification
by: Xu, Jiaxing, et al.
Published: (2024)
by: Xu, Jiaxing, et al.
Published: (2024)
NC-NCD: Novel Class Discovery for Node Classification
by: Hou, Yue, et al.
Published: (2024)
by: Hou, Yue, et al.
Published: (2024)
Refined Causal Graph Structure Learning via Curvature for Brain Disease Classification
by: Febrinanto, Falih Gozi, et al.
Published: (2025)
by: Febrinanto, Falih Gozi, et al.
Published: (2025)
Semantic Refinement with LLMs for Graph Representations
by: Thapaliya, Safal, et al.
Published: (2025)
by: Thapaliya, Safal, et al.
Published: (2025)
Beyond Parameter Finetuning: Test-Time Representation Refinement for Node Classification
by: Zhang, Jiaxin, et al.
Published: (2026)
by: Zhang, Jiaxin, et al.
Published: (2026)
Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning
by: Hu, Yulan, et al.
Published: (2023)
by: Hu, Yulan, et al.
Published: (2023)
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
by: Qian, Feifei, et al.
Published: (2024)
by: Qian, Feifei, et al.
Published: (2024)
Directed Homophily-Aware Graph Neural Network
by: Zhang, Aihu, et al.
Published: (2025)
by: Zhang, Aihu, et al.
Published: (2025)
Graph-level Protein Representation Learning by Structure Knowledge Refinement
by: Wang, Ge, et al.
Published: (2024)
by: Wang, Ge, et al.
Published: (2024)
Transition Graph Properties of Target Class Classification
by: Aslanyan, Levon, et al.
Published: (2024)
by: Aslanyan, Levon, et al.
Published: (2024)
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
by: Duan, Shijin, et al.
Published: (2024)
by: Duan, Shijin, et al.
Published: (2024)
Class-Imbalanced Graph Learning without Class Rebalancing
by: Liu, Zhining, et al.
Published: (2023)
by: Liu, Zhining, et al.
Published: (2023)
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes
by: Wang, Qian, et al.
Published: (2024)
by: Wang, Qian, et al.
Published: (2024)
Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning
by: Srinivasan, Srinitish, et al.
Published: (2025)
by: Srinivasan, Srinitish, et al.
Published: (2025)
A Unified Invariant Learning Framework for Graph Classification
by: Sui, Yongduo, et al.
Published: (2025)
by: Sui, Yongduo, et al.
Published: (2025)
Refining Myocardial Infarction Detection: A Novel Multi-Modal Composite Kernel Strategy in One-Class Classification
by: Zahid, Muhammad Uzair, et al.
Published: (2024)
by: Zahid, Muhammad Uzair, et al.
Published: (2024)
SamGoG: A Sampling-Based Graph-of-Graphs Framework for Imbalanced Graph Classification
by: Wang, Shangyou, et al.
Published: (2025)
by: Wang, Shangyou, et al.
Published: (2025)
PrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphs
by: Radwan, Yousef A., et al.
Published: (2026)
by: Radwan, Yousef A., et al.
Published: (2026)
SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs
by: Amouzouvi, Kossi, et al.
Published: (2025)
by: Amouzouvi, Kossi, et al.
Published: (2025)
Vejde: A Framework for Inductive Deep Reinforcement Learning Based on Factor Graph Color Refinement
by: Nyberg, Jakob, et al.
Published: (2025)
by: Nyberg, Jakob, et al.
Published: (2025)
SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation
by: Ren, Yanwei, et al.
Published: (2025)
by: Ren, Yanwei, et al.
Published: (2025)
Graph Generative Pre-trained Transformer
by: Chen, Xiaohui, et al.
Published: (2025)
by: Chen, Xiaohui, et al.
Published: (2025)
UniMAP: Universal SMILES-Graph Representation Learning
by: Feng, Shikun, et al.
Published: (2023)
by: Feng, Shikun, et al.
Published: (2023)
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
by: Chakrabarty, Surajit, et al.
Published: (2025)
by: Chakrabarty, Surajit, et al.
Published: (2025)
Accumulator-Aware Post-Training Quantization for Large Language Models
by: Colbert, Ian, et al.
Published: (2024)
by: Colbert, Ian, et al.
Published: (2024)
A Multi-Scale Graph Neural Process with Cross-Drug Co-Attention for Drug-Drug Interactions Prediction
by: Yan, Zimo, et al.
Published: (2025)
by: Yan, Zimo, et al.
Published: (2025)
CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning
by: Sun, Jinze, et al.
Published: (2024)
by: Sun, Jinze, et al.
Published: (2024)
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs
by: Zhang, Yue, et al.
Published: (2024)
by: Zhang, Yue, et al.
Published: (2024)
SleepNet and DreamNet: Enriching and Reconstructing Representations for Consolidated Visual Classification
by: Ni, Mingze, et al.
Published: (2024)
by: Ni, Mingze, et al.
Published: (2024)
Multi-Scenario Highway Lane-Change Intention Prediction: A Physics-Informed AI Framework for Three-Class Classification
by: Shi, Jiazhao, et al.
Published: (2025)
by: Shi, Jiazhao, et al.
Published: (2025)
Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approach
by: Xu, Changxin, et al.
Published: (2024)
by: Xu, Changxin, et al.
Published: (2024)
FASE : A Fairness-Aware Spatiotemporal Event Graph Framework for Predictive Policing
by: Barman, Pronob Kumar, et al.
Published: (2026)
by: Barman, Pronob Kumar, et al.
Published: (2026)
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
by: Luo, Yihong, et al.
Published: (2024)
by: Luo, Yihong, et al.
Published: (2024)
NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing
by: Li, Wei, et al.
Published: (2025)
by: Li, Wei, et al.
Published: (2025)
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
by: Yin, Nan, et al.
Published: (2023)
by: Yin, Nan, et al.
Published: (2023)
Orientation-Aware Graph Neural Networks for Protein Structure Representation Learning
by: Li, Jiahan, et al.
Published: (2022)
by: Li, Jiahan, et al.
Published: (2022)
Similar Items
-
Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations
by: Lei, Han, et al.
Published: (2025) -
$α$-GAN by Rényi Cross Entropy
by: Ding, Ni, et al.
Published: (2025) -
Contrastive Graph Pooling for Explainable Classification of Brain Networks
by: Xu, Jiaxing, et al.
Published: (2023) -
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
by: Zhang, Jiaxing, et al.
Published: (2025) -
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification
by: Xu, Jiaxing, et al.
Published: (2024)