https://bitbucket.org/sdumancic/embeddingsmeetilp
공식 코드A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.
<span style="color:grey; opacity: 0.6">( Image credit: GAT )</span>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning
Contrastive Deep Nonnegative Matrix Factorization for Community Detection
Multi-task Pre-training Language Model for Semantic Network Completion
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach
Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
Graph-based Semi-supervised Learning: A Comprehensive Review
Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding
Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding
Bilinear Scoring Function Search for Knowledge Graph Learning
Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records
ExEm: Expert Embedding using dominating set theory with deep learning approaches
Whole-Graph Representation Learning For the Classification of Signed Networks
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals
Negative Sampling with Adaptive Denoising Mixup for Knowledge Graph Embedding
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles
Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization
Knowledge Graph Embedding for Ecotoxicological Effect Prediction
Learning Graph Embeddings for Compositional Zero-shot Learning
ECLARE: Extreme Classification with Label Graph Correlations
Deep Learning for Community Detection: Progress, Challenges and Opportunities
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.