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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/jayachaturvedi/pain_in_mental_health

공식 코드

Development of a Knowledge Graph Embeddings Model for Pain

https://github.com/jhljx/CTGCN

공식 코드

K-Core based Temporal Graph Convolutional Network for Dynamic Graphs

https://github.com/jhy549/ocgec

공식 코드

OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection

https://github.com/jiayuan6/cssr

공식 코드

CSSR: A Context-Aware Sequential Software Service Recommendation Model

https://github.com/jinluwang1002/dgnn

공식 코드

DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations

https://github.com/jiongqian/MILE

공식 코드

MILE: A Multi-Level Framework for Scalable Graph Embedding

https://github.com/jisungyoon/persona2vec

공식 코드

Persona2vec: A Flexible Multi-role Representations Learning Framework for Graphs

https://github.com/joaopedromattos/gnee

공식 코드

Semi-Supervised Graph Attention Networks for Event Representation Learning

https://github.com/joeybose/Flexible-Fairness-Constraints

공식 코드

Compositional Fairness Constraints for Graph Embeddings

https://github.com/joint-em/cs-tgn

공식 코드

CS-TGN: Community Search via Temporal Graph Neural Networks

https://github.com/jschweisthal/impulses

공식 코드

Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision

https://github.com/junkangwu/DisenKGAT

공식 코드

DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network

https://github.com/justsmart/LSIMVC

공식 코드

Localized Sparse Incomplete Multi-view Clustering

https://github.com/jwallat/knowledge-probing

공식 코드

BERTnesia: Investigating the capture and forgetting of knowledge in BERT

https://github.com/kamigaito/acl2021kge

공식 코드

Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding

https://github.com/kamigaito/icml2022

공식 코드

Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning

https://github.com/kang205/MoHR

공식 코드

Recommendation Through Mixtures of Heterogeneous Item Relationships

https://github.com/kdrl/WIPS

공식 코드

Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities

https://github.com/kgrl2021/submission-one

공식 코드

A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of Things

https://github.com/kikixiong/xatgrn

공식 코드

Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree Distribution

https://github.com/killianfmeehan/topological_node2vec

공식 코드

Topological Node2vec: Enhanced Graph Embedding via Persistent Homology

https://github.com/kkteru/grail

공식 코드

Inductive Relation Prediction by Subgraph Reasoning

https://github.com/koulakis/h-nne

공식 코드

Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction

https://github.com/krainskil/unsupervisedframeworkforcomparinggraphembeddings

공식 코드

A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed Graphs

https://github.com/kuroginqin/rfa

공식 코드

Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation

https://github.com/lanlan96/arm3d

공식 코드

ARM3D: Attention-based relation module for indoor 3D object detection

https://github.com/lars-research/relens

공식 코드

Relation-aware Ensemble Learning for Knowledge Graph Embedding

https://github.com/lautel/meg

공식 코드

MEG: Medical Knowledge-Augmented Large Language Models for Question Answering

https://github.com/lcrypto/classical-and-quantum-topology-ml-toric-spherical

공식 코드

Spherical and Hyperbolic Toric Topology-Based Codes On Graph Embedding for Ising MRF Models: Classical and Quantum Topology Machine Learning

https://github.com/leezythu/MetaBLINK

공식 코드

Effective Few-Shot Named Entity Linking by Meta-Learning

https://github.com/lenazellinger/counterfactual_kgr

공식 코드

Counterfactual Reasoning with Knowledge Graph Embeddings

https://github.com/leonyuhe/tlwalk

공식 코드

Two Layer Walk: A Community-Aware Graph Embedding

https://github.com/leoribeiro/struc2vec

공식 코드

struc2vec: Learning Node Representations from Structural Identity

https://github.com/leotrs/glee

공식 코드

GLEE: Geometric Laplacian Eigenmap Embedding

https://github.com/liangke23/awesome-knowledge-graph-reasoning

공식 코드

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal

https://github.com/lichen11/LSGMcode

공식 코드

Spectral Clustering for Divide-and-Conquer Graph Matching

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