Image de couverture de livre

Reconsidering the Performance of GAE in Link Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ma, Weishuo, Wang, Yanbo, Wang, Xiyuan, Zhang, Muhan
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning
par: Ma, Weishuo, et autres
Publié: (2025)

Efficient Neural Common Neighbor for Temporal Graph Link Prediction
par: Zhang, Xiaohui, et autres
Publié: (2024)

OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction
par: Wang, Juntong, et autres
Publié: (2025)

Neural Common Neighbor with Completion for Link Prediction
par: Wang, Xiyuan, et autres
Publié: (2023)

An Empirical Study of Realized GNN Expressiveness
par: Wang, Yanbo, et autres
Publié: (2023)

Griffin: Towards a Graph-Centric Relational Database Foundation Model
par: Wang, Yanbo, et autres
Publié: (2025)

On the Completeness of Invariant Geometric Deep Learning Models
par: Li, Zian, et autres
Publié: (2024)

Is Distance Matrix Enough for Geometric Deep Learning?
par: Li, Zian, et autres
Publié: (2023)

Meta Pruning via Graph Metanetworks : A Universal Meta Learning Framework for Network Pruning
par: Liu, Yewei, et autres
Publié: (2025)

Relational In-Context Learning via Synthetic Pre-training with Structural Prior
par: Wang, Yanbo, et autres
Publié: (2026)

Geometric Representation Condition Improves Equivariant Molecule Generation
par: Li, Zian, et autres
Publié: (2024)

T-GAE: Transferable Graph Autoencoder for Network Alignment
par: He, Jiashu, et autres
Publié: (2023)

HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
par: Xu, Zhuo, et autres
Publié: (2024)

GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model
par: Yang, Haotong, et autres
Publié: (2024)

GREPO: A Benchmark for Graph Neural Networks on Repository-Level Bug Localization
par: Wang, Juntong, et autres
Publié: (2026)

TabDLM: Free-Form Tabular Data Generation via Joint Numerical-Language Diffusion
par: Cai, Donghong, et autres
Publié: (2026)

PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
par: Meng, Fanxu, et autres
Publié: (2024)

Position: How can Graphs Help Large Language Models?
par: Wang, Xiyuan, et autres
Publié: (2026)

The Road Less Traveled: Enhancing Exploration in LLMs via Sequential Sampling
par: Kang, Shijia, et autres
Publié: (2025)

CanvasMAR: Improving Masked Autoregressive Video Prediction With Canvas
par: Li, Zian, et autres
Publié: (2025)

Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
par: Wang, Xiyuan, et autres
Publié: (2025)

Reconsidering LLM Uncertainty Estimation Methods in the Wild
par: Bakman, Yavuz, et autres
Publié: (2025)

Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation
par: Tang, Pingzhi, et autres
Publié: (2026)

SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling
par: Dong, Zehao, et autres
Publié: (2024)

HD-PiSSA: High-Rank Distributed Orthogonal Adaptation
par: Wang, Yiding, et autres
Publié: (2025)

Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
par: Zhou, Cai, et autres
Publié: (2024)

Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs
par: Azzolin, Steve, et autres
Publié: (2024)

Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning
par: Luo, Zhi, et autres
Publié: (2024)

Time-Series Contrastive Learning against False Negatives and Class Imbalance
par: Jin, Xiyuan, et autres
Publié: (2023)

CLOVER: Cross-Layer Orthogonal Vectors Pruning and Fine-Tuning
par: Meng, Fanxu, et autres
Publié: (2024)

The Expressivity Boundary of Probabilistic Circuits: A Comparison with Large Language Models
par: Zhao, Zhiyu, et autres
Publié: (2026)

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
par: Wang, Yilong, et autres
Publié: (2025)

RulE: Knowledge Graph Reasoning with Rule Embedding
par: Tang, Xiaojuan, et autres
Publié: (2022)

Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low Dimensions
par: Zheng, Wenjie, et autres
Publié: (2022)

SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory
par: Wang, Juntong, et autres
Publié: (2026)

Link Prediction with Relational Hypergraphs
par: Huang, Xingyue, et autres
Publié: (2024)

Reevaluation of Inductive Link Prediction
par: Ott, Simon, et autres
Publié: (2024)

TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill and Decode Inference
par: Tang, Xiaojuan, et autres
Publié: (2025)

Structural Alignment in Link Prediction
par: Sardina, Jeffrey Seathrún
Publié: (2025)

Instance Discrimination for Link Prediction
par: Cuzin-Rambaud, Valentin, et autres
Publié: (2026)