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Dynamic graph embedding

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

https://github.com/jhljx/CTGCN

공식 코드

K-Core based Temporal Graph Convolutional Network for Dynamic Graphs

https://github.com/jschweisthal/impulses

공식 코드

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

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

공식 코드

BERTnesia: Investigating the capture and forgetting of knowledge in BERT

https://github.com/leezythu/MetaBLINK

공식 코드

Effective Few-Shot Named Entity Linking by Meta-Learning

https://github.com/ling-cai/time2box

공식 코드

Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes

https://github.com/marina-sp/classification_lp

공식 코드

Ranking vs. Classifying: Measuring Knowledge Base Completion Quality

https://github.com/marlin-codes/FeatureNorm

공식 코드

FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding

https://github.com/masashi-y/abduction_kbc

공식 코드

Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference

https://github.com/matthiasrlalisse/hmemnetworks

공식 코드

Scalable knowledge base completion with superposition memories

https://github.com/netpaladinx/DPMPN

공식 코드

Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning

https://github.com/netpaladinx/NeuCFlow

공식 코드

Neural Consciousness Flow

https://github.com/nle-ml/mmkb

공식 코드

KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features

https://github.com/palash1992/DynamicGEM

공식 코드

DynamicGEM: A Library for Dynamic Graph Embedding Methods

https://github.com/pouyapez/mkbe

공식 코드

Embedding Multimodal Relational Data for Knowledge Base Completion

https://github.com/rahuln/lm-bio-kgc

공식 코드

Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study

https://github.com/ralphabb/BoxE

공식 코드

BoxE: A Box Embedding Model for Knowledge Base Completion

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/thunlp/FFD

공식 코드

Fact Discovery from Knowledge Base via Facet Decomposition

https://github.com/tianran/glimvec

공식 코드

Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder

https://github.com/tigerchen52/long_tail_kbc

공식 코드

Knowledge Base Completion for Long-Tail Entities

https://github.com/tkipf/relational-gcn

공식 코드

Modeling Relational Data with Graph Convolutional Networks

https://github.com/vid-koci/kbctransferlearning

공식 코드

Knowledge Base Completion Meets Transfer Learning

https://github.com/xu-song/k-plug

공식 코드

K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce

https://github.com/zjs123/DTGB

공식 코드

DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs

https://gitlab.com/fildne/fildne

공식 코드

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings

https://worksheets.codalab.org/worksheets/0xfcace41fdeec45f3bc6ddf31107b829f

공식 코드

Traversing Knowledge Graphs in Vector Space

https://github.com/INK-USC/MHGRN

Modeling Relational Data with Graph Convolutional Networks

https://github.com/INK-USC/RE-Net

Modeling Relational Data with Graph Convolutional Networks

https://github.com/JiabenLi/rgcn_paddlepaddle

Modeling Relational Data with Graph Convolutional Networks

https://github.com/KXY-PUBLIC/NASE

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

https://github.com/MichSchli/RelationPrediction

Modeling Relational Data with Graph Convolutional Networks

https://github.com/Microsoft/gated-graph-neural-network-samples

Modeling Relational Data with Graph Convolutional Networks

https://github.com/MurtyShikhar/KBI

Joint Matrix-Tensor Factorization for Knowledge Base Inference

https://github.com/QustKcz/relational-GCN

Modeling Relational Data with Graph Convolutional Networks

https://github.com/Sujit-O/pykg2vec

A survey of embedding models of entities and relationships for knowledge graph completion

https://github.com/WeidongLi-KG/KBGAN_PyTorch-v0.4.1

KBGAN: Adversarial Learning for Knowledge Graph Embeddings

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.