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Inductive Learning

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

https://github.com/000Justin000/GaussianMRF

공식 코드

A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations

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

공식 코드

Deep Graph Contrastive Representation Learning

https://github.com/EpistasisLab/tpot

공식 코드

Is deep learning necessary for simple classification tasks?

https://github.com/GraphNAS/GraphNAS-simple

공식 코드

GraphNAS: Graph Neural Architecture Search with Reinforcement Learning

https://github.com/GraphSAINT/GraphSAINT

공식 코드

GraphSAINT: Graph Sampling Based Inductive Learning Method

https://github.com/JiarenX/AGAIN

공식 코드

Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs

https://github.com/Josh-Payne/deep-hyperedges

공식 코드

Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs

https://github.com/LeonResearch/NPGNN

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How Neural Processes Improve Graph Link Prediction

https://github.com/LorenzoBini4/FlowCyt-Classification-Benchmark

공식 코드

FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking

https://github.com/PetarV-/DGI

공식 코드

Deep Graph Infomax

https://github.com/RingBDStack/KPGNN

공식 코드

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs

https://github.com/Yochengliu/DensePoint

공식 코드

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing

https://github.com/aravi11/funcGNN

공식 코드

funcGNN: A Graph Neural Network Approach to Program Similarity

https://github.com/aravindsankar28/Inf-VAE

공식 코드

Sparsity-aware neural user behavior modeling in online interaction platforms

https://github.com/arkadiyd/phylognn

공식 코드

Solving the Tree Containment Problem Using Graph Neural Networks

https://github.com/avinashsai/NILM

공식 코드

What do Large Language Models Learn beyond Language?

https://github.com/azreasoners/recurrent_transformer

공식 코드

Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer

https://github.com/bdi-lab/ingram

공식 코드

InGram: Inductive Knowledge Graph Embedding via Relation Graphs

https://github.com/cenyk1230/GATNE

공식 코드

Representation Learning for Attributed Multiplex Heterogeneous Network

https://github.com/cognitivemodeling/hierarchicalgatel0rd

공식 코드

Developing hierarchical anticipations via neural network-based event segmentation

https://github.com/cslijt/id-cdf

공식 코드

Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm

https://github.com/danm11694/ilasp_robotics

공식 코드

Inductive Learning of Robot Task Knowledge from Raw Data and Online Expert Feedback

https://github.com/divelab/lgcn

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Large-Scale Learnable Graph Convolutional Networks

https://github.com/gblackout/NLIL

공식 코드

Learn to Explain Efficiently via Neural Logic Inductive Learning

https://github.com/gurdaspuriya/ot_regression

공식 코드

Regression via Implicit Models and Optimal Transport Cost Minimization

https://github.com/hadiiiil/gnns-breastcompression

공식 코드

Graph Neural Networks for modelling breast biomechanical compression

https://github.com/hugochan/IDGL

공식 코드

Deep Iterative and Adaptive Learning for Graph Neural Networks

https://github.com/hwd404/fold-r-pp

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FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default Theories from Mixed Data

https://github.com/hwd404/fold-rm

공식 코드

FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data

https://github.com/jase-clarkson/graph_cp

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Distribution Free Prediction Sets for Node Classification

https://github.com/kaggarwal/ganRegression

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Benchmarking Regression Methods: A comparison with CGAN

https://github.com/maoyunyao/joint

공식 코드

Joint Inductive and Transductive Learning for Video Object Segmentation

https://github.com/mengcz13/KDD2021_CNFGNN

공식 코드

Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling

https://github.com/nju-websoft/contea

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Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs

https://github.com/noviceman-prog/focalconvnet

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Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network

https://github.com/pbontrager/GenerativePlayingNetworks

공식 코드

Learning to Generate Levels From Nothing

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