Papers with Code 아카이브

Privacy Preserving

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코드

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

https://github.com/jcy132/PatchGCL

공식 코드

Patch-wise Graph Contrastive Learning for Image Translation

https://github.com/jeff-sue/urt

공식 코드

Unsupervised Mutual Learning of Dialogue Discourse Parsing and Topic Segmentation

https://github.com/jefffffffu/dpsur

공식 코드

DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release

https://github.com/jekimlab/aies2024_srcm

공식 코드

Representation Magnitude has a Liability to Privacy Vulnerability

https://github.com/jeongwhanchoi/panda

공식 코드

PANDA: Expanded Width-Aware Message Passing Beyond Rewiring

https://github.com/jerrylife/fedonce

공식 코드

Practical Vertical Federated Learning with Unsupervised Representation Learning

https://github.com/jesse-merhi/CNN-TRAJGAN

공식 코드

Synthetic Trajectory Generation Through Convolutional Neural Networks

https://github.com/jeyabbalas/py-icare

공식 코드

Wasm-iCARE: a portable and privacy-preserving web module to build, validate, and apply absolute risk models

https://github.com/jeyabbalas/wasm-icare

공식 코드

Wasm-iCARE: a portable and privacy-preserving web module to build, validate, and apply absolute risk models

https://github.com/jiafan-ucas/hgnn-ima

공식 코드

Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks

https://github.com/jiahaoLjh/HumanDepth

공식 코드

HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization

https://github.com/jiahaoLjh/PoseGrouping

공식 코드

Learning Spatial Context with Graph Neural Network for Multi-Person Pose Grouping

https://github.com/jianhao2016/GPRGNN

공식 코드

Adaptive Universal Generalized PageRank Graph Neural Network

https://github.com/jiaqima/CopulaGNN

공식 코드

CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks

https://github.com/jiaqingxie/deepprotein

공식 코드

DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning

https://github.com/jiaweihe1996/GMTracker

공식 코드

Learnable Graph Matching: A Practical Paradigm for Data Association

https://github.com/jiaweixue/multiwavecovidprediction

공식 코드

Multiwave COVID-19 Prediction from Social Awareness using Web Search and Mobility Data

https://github.com/jiaxililearn/hrgcn

공식 코드

HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks

https://github.com/jiayuzhai1207/bregmangnn

공식 코드

Bregman Graph Neural Network

https://github.com/jiazheng-xing/gghm

공식 코드

Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching

https://github.com/jindongli-ai/cvtgad

공식 코드

CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-level Anomaly Detection

https://github.com/jinglong696/secformer

공식 코드

SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC

https://github.com/jingqiangchen/kbsumm

공식 코드

An entity-guided text summarization framework with relational heterogeneous graph neural network

https://github.com/jingyzhang/cgr

공식 코드

Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting

https://github.com/jiwoncpark/node-to-joy

공식 코드

Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks

https://github.com/jiyawang/ppgnn

공식 코드

Probability Passing for Graph Neural Networks: Graph Structure and Representations Joint Learning

https://github.com/jjzhou012/I2BGNN

공식 코드

Identity Inference on Blockchain using Graph Neural Network

https://github.com/jla-gardner/nnp-pre-training

공식 코드

Synthetic pre-training for neural-network interatomic potentials

https://github.com/jliu/graph-normalizing-flows

공식 코드

Graph Normalizing Flows

https://github.com/jls2007/TIOT_code

공식 코드

On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections

https://github.com/joeloskarsson/tgnn4i

공식 코드

Temporal Graph Neural Networks for Irregular Data

https://github.com/joepstorm/microscale-gnn-surrogate

공식 코드

A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations

https://github.com/johncai117/DAMSL

공식 코드

DAMSL: Domain Agnostic Meta Score-based Learning

https://github.com/johnnyjana730/MVIN

공식 코드

MVIN: Learning Multiview Items for Recommendation

https://github.com/joisino/clear

공식 코드

CLEAR: A Fully User-side Image Search System

https://github.com/joker3993/rlhgnn

공식 코드

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes

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