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Graph Embedding

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하위 태스크: 5
평가표: 1
보존된 평가 기록: 1

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>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/sawlani/a-doge

공식 코드

Fast Attributed Graph Embedding via Density of States

https://github.com/sbonner0/unsupervised-graph-embedding

공식 코드

Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study

https://github.com/sbonner0/unsupervised-graph-embeddings

공식 코드

Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study

https://github.com/scwu1008/kadm

공식 코드

Unify Local and Global Information for Top-$N$ Recommendation

https://github.com/seeyourmind/ptbox

공식 코드

Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding

https://github.com/seukgcode/fastkge

공식 코드

Fast and Continual Knowledge Graph Embedding via Incremental LoRA

https://github.com/seukgcode/incde

공식 코드

Towards Continual Knowledge Graph Embedding via Incremental Distillation

https://github.com/sevinjt/owl2vec4oa

공식 코드

OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment

https://github.com/sh-je/eans

공식 코드

Entity Aware Negative Sampling with Auxiliary Loss of False Negative Prediction for Knowledge Graph Embedding

https://github.com/shaoxiongji/awesome-knowledge-graph

공식 코드

A Survey on Knowledge Graphs: Representation, Acquisition and Applications

https://github.com/sharecodesubmission/weighted_product_manifold

공식 코드

Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product Manifold

https://github.com/shawnkx/Decom

공식 코드

Decompressing Knowledge Graph Representations for Link Prediction

https://github.com/shevkunov/Overlaying-Spaces-and-Practical-Applicability-of-Complex-Geometries

공식 코드

Overlapping Spaces for Compact Graph Representations

https://github.com/shevkunov/overlapping-spaces-for-compact-graph-representations

공식 코드

Overlapping Spaces for Compact Graph Representations

https://github.com/sjlmg/cp-kgc

공식 코드

Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic Enhancement

https://github.com/skojaku/residual2vec

공식 코드

Residual2Vec: Debiasing graph embedding with random graphs

https://github.com/smeznar/SNoRe

공식 코드

SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations

https://github.com/sntcristian/and-kge

공식 코드

A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using Literals

https://github.com/soledad921/ATISE

공식 코드

Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition

https://github.com/soledad921/ATISE/blob/master/README.md

공식 코드

TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation

https://github.com/squareroot3/slotalign

공식 코드

Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport

https://github.com/stasl0217/beurre

공식 코드

Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning

https://github.com/steve30572/bsg

공식 코드

Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition

https://github.com/stxyfu/stress_gnn

공식 코드

An FEA surrogate model with Boundary Oriented Graph Embedding approach

https://github.com/sunnerzs/AdvSGM

공식 코드

AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram Model

https://github.com/sunnerzs/seprivgemb

공식 코드

Structure-Preference Enabled Graph Embedding Generation under Differential Privacy

https://github.com/systemsecuritystorm/awesome-binary-similarity

공식 코드

VEXIR2Vec: An Architecture-Neutral Embedding Framework for Binary Similarity

https://github.com/syvail/PairE-Graph-Representation-Learning-Beyond-Node-and-Homophily

공식 코드

Graph Representation Learning Beyond Node and Homophily

https://github.com/takuo-h/GNN-for-OOKB

공식 코드

Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach

https://github.com/tamsiuhin/kracl

공식 코드

KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion

https://github.com/tangjianpku/LINE

공식 코드

LINE: Large-scale Information Network Embedding

https://github.com/tensorflow/neural-structured-learning

공식 코드

Low-Dimensional Hyperbolic Knowledge Graph Embeddings

https://github.com/tewiSong/Rot-Pro

공식 코드

Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding

https://github.com/tgebhart/sheaf_kg

공식 코드

Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding

https://github.com/tgebhart/sheaf_kg_transind

공식 코드

Extending Transductive Knowledge Graph Embedding Models for Inductive Logical Relational Inference

https://github.com/thilinicooray/deepgcfx

공식 코드

Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning

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