Papers with Code 아카이브

Graph Representation Learning

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 1
평가표: 1
보존된 평가 기록: 1

The goal of Graph Representation Learning is to construct a set of features (‘embeddings’) representing the structure of the graph and the data thereon. We can distinguish among Node-wise embeddings, representing each node of the graph, Edge-wise embeddings, representing each edge in the graph, and Graph-wise embeddings representing the graph as a whole.

Source: SIGN: Scalable Inception Graph Neural Networks

코드

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

https://github.com/763337092/LP-BERT

공식 코드

Multi-task Pre-training Language Model for Semantic Network Completion

https://github.com/99731/M2GRL

공식 코드

M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems

https://github.com/A4Bio/GraphsGPT

공식 코드

A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer

https://github.com/AKSW/KG2Vec

공식 코드

Expeditious Generation of Knowledge Graph Embeddings

https://github.com/Accenture/AmpliGraph

공식 코드

Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes

https://github.com/Algue-Rythme/DiffusionLimitedAgregation

공식 코드

Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening

https://github.com/AnacletoLAB/hetnode2vec_ensmallen

공식 코드

Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding

https://github.com/AnselCmy/FedE

공식 코드

FedE: Embedding Knowledge Graphs in Federated Setting

https://github.com/AutoML-4Paradigm/ERAS

공식 코드

Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding

https://github.com/AutoML-4Paradigm/Interstellar

공식 코드

Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding

https://github.com/AutoML-4Paradigm/NSCaching

공식 코드

Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding

https://github.com/AutoML-Research/AutoSF

공식 코드

Bilinear Scoring Function Search for Knowledge Graph Learning

https://github.com/BUPT-GAMMA/OpenHGNN

공식 코드

Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks

https://github.com/Barcavin/efficient-node-labelling

공식 코드

Pure Message Passing Can Estimate Common Neighbor for Link Prediction

https://github.com/BehafaridMjf/Social-Recommendation-System

공식 코드

Social Recommendation through Heterogeneous Graph Modeling of the Long-term and Short-term Preference Defined by Dynamic Time Spans

https://github.com/CRIPAC-DIG/GCA

공식 코드

Graph Contrastive Learning with Adaptive Augmentation

https://github.com/CRIPAC-DIG/GRACE

공식 코드

Deep Graph Contrastive Representation Learning

https://github.com/CRIPAC-DIG/GraphAIR

공식 코드

GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction

https://github.com/CUAI/Non-Homophily-Benchmarks

공식 코드

New Benchmarks for Learning on Non-Homophilous Graphs

https://github.com/ChandlerBang/SimP-GCN

공식 코드

Node Similarity Preserving Graph Convolutional Networks

https://github.com/Chrisa142857/neuro_detour

공식 코드

NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes

https://github.com/CompNet/SWGE

공식 코드

Whole-Graph Representation Learning For the Classification of Signed Networks

https://github.com/DLR-RM/GRACE

공식 코드

Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning

https://github.com/DavideBuffelli/SAME

공식 코드

A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings

https://github.com/DeMix2023/Demix

공식 코드

Negative Sampling with Adaptive Denoising Mixup for Knowledge Graph Embedding

https://github.com/Deceptrax123/LGIN

공식 코드

LGIN: Defining an Approximately Powerful Hyperbolic GNN

https://github.com/DeepGraphLearning/GraphLoG

공식 코드

Self-supervised Graph-level Representation Learning with Local and Global Structure

https://github.com/DeepGraphLearning/KnowledgeGraphEmbedding

공식 코드

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

https://github.com/Ebiquity/KGFP

공식 코드

Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization

https://github.com/Elric2718/Bayes_Embedding

공식 코드

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks

https://github.com/EmmaRocheteau/eICU-GNN-LSTM

공식 코드

Predicting Patient Outcomes with Graph Representation Learning

https://github.com/Erik-BM/NIVAUC

공식 코드

Knowledge Graph Embedding for Ecotoxicological Effect Prediction

https://github.com/FeiWang96/GTR

공식 코드

Retrieving Complex Tables with Multi-Granular Graph Representation Learning

https://github.com/GGA23/GrokFormer

공식 코드

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers

https://github.com/GISec-Team/GNNMoE

공식 코드

Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification

https://github.com/GRAND-Lab/MERIT

공식 코드

Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning

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