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Link Property Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Reconsidering the Performance of GAE in Link Prediction
GraphGPT: Graph Learning with Generative Pre-trained Transformers
Edge2Node: Reducing Edge Prediction to Node Classification
Ensemble Learning for Graph Neural Networks
Relation-aware Ensemble Learning for Knowledge Graph Embedding
Temporal graph models fail to capture global temporal dynamics
Prior Bilinear Based Models for Knowledge Graph Completion
Circle Feature Graphormer: Can Circle Features Stimulate Graph Transformer?
Pure Message Passing Can Estimate Common Neighbor for Link Prediction
TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation
How to Turn Your Knowledge Graph Embeddings into Generative Models
Knowledge Graph Embedding with 3D Compound Geometric Transformations
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning
Neural Common Neighbor with Completion for Link Prediction
Simplifying Subgraph Representation Learning for Scalable Link Prediction
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction
Path-aware Siamese Graph Neural Network for Link Prediction
AutoWeird: Weird Translational Scoring Function Identified by Random Search
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph
TranS: Transition-based Knowledge Graph Embedding with Synthetic Relation Representation
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning
Pairwise Learning for Neural Link Prediction
Network In Graph Neural Network
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
Bilinear Scoring Function Search for Knowledge Graph Learning
Edge Proposal Sets for Link Prediction
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Learning from Counterfactual Links for Link Prediction
Memory-Associated Differential Learning
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