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Link Prediction

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하위 태스크: 6
평가표: 79
보존된 평가 기록: 497

Link Prediction is a task in graph and network analysis where the goal is to predict missing or future connections between nodes in a network. Given a partially observed network, the goal of link prediction is to infer which links are most likely to be added or missing based on the observed connections and the structure of the network.

<span style="color:grey; opacity: 0.6">( Image credit: Inductive Representation Learning on Large Graphs )</span>

코드

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

https://github.com/cptq/sign-equivariant-nets

공식 코드

Expressive Sign Equivariant Networks for Spectral Geometric Learning

https://github.com/cs-anonymous/expath

공식 코드

eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path Rules

https://github.com/cs-bio/torgnn

공식 코드

Torsion Graph Neural Networks

https://github.com/cspjiao/RONE

공식 코드

A Survey on Role-Oriented Network Embedding

https://github.com/cyh1112/GraphNormalization

공식 코드

Learning Graph Normalization for Graph Neural Networks

https://github.com/cynricfu/mecch

공식 코드

MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks

https://github.com/d-maurya/hypred_tensorEVD

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Hyperedge Prediction using Tensor Eigenvalue Decomposition

https://github.com/dadacheng/walkpooling

공식 코드

Neural Link Prediction with Walk Pooling

https://github.com/daehoum1/pcfi

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Confidence-Based Feature Imputation for Graphs with Partially Known Features

https://github.com/daiquocnguyen/CapsE

공식 코드

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization

https://github.com/daiquocnguyen/ConvKB

공식 코드

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network

https://github.com/daiquocnguyen/GNN-NoGE

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Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction

https://github.com/daiquocnguyen/Walk-Transformer

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A Self-Attention Network based Node Embedding Model

https://github.com/dair-iitd/kbi-regex

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Regex Queries over Incomplete Knowledge Bases

https://github.com/dair-iitd/tkbi

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Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols

https://github.com/dalab/hyperbolic_cones

공식 코드

Hyperbolic Entailment Cones for Learning Hierarchical Embeddings

https://github.com/damartinezsi/An-unified-approach-to-link-prediction-in-collaboration-networks

공식 코드

An unified approach to link prediction in collaboration networks

https://github.com/danielegrattarola/ccm-aae

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Adversarial Autoencoders with Constant-Curvature Latent Manifolds

https://github.com/danielemalitesta/rel-deeplearning-recsys

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ContextGNN goes to Elliot: Towards Benchmarking Relational Deep Learning for Static Link Prediction (aka Personalized Item Recommendation)

https://github.com/daokunzhang/attri2vec

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Attributed Network Embedding via Subspace Discovery

https://github.com/datang1992/Correlated-VAEs

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Correlated Variational Auto-Encoders

https://github.com/datquocnguyen/STransE

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STransE: a novel embedding model of entities and relationships in knowledge bases

https://github.com/davidlamprecht/autordf2gml

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AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning

https://github.com/davidlvxin/TransC

공식 코드

Differentiating Concepts and Instances for Knowledge Graph Embedding

https://github.com/dayanayuan/raa-kgc

공식 코드

Knowledge Graph Completion with Relation-Aware Anchor Enhancement

https://github.com/deceptrax123/jpeb-gssl

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Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning

https://github.com/deepakn97/relationPrediction

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Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

https://github.com/deezer/gravity_graph_autoencoders

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Gravity-Inspired Graph Autoencoders for Directed Link Prediction

https://github.com/deezer/linear_graph_autoencoders

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Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks

https://github.com/deezer/similar_artists_ranking

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Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders

https://github.com/dellixx/tkbc-lie

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Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding

https://github.com/devnkong/FLAG

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Robust Optimization as Data Augmentation for Large-scale Graphs

https://github.com/devnkong/VQ-GNN

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VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization

https://github.com/dfdazac/blp

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Inductive Entity Representations from Text via Link Prediction

https://github.com/dfdazac/mpqe

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Message Passing Query Embedding

https://github.com/dice-group/Convolutional-Complex-Knowledge-Graph-Embeddings

공식 코드

Convolutional Complex Knowledge Graph Embeddings

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