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Graph Neural Network

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

https://github.com/ur-whitelab/chem-dual-use

공식 코드

Censoring chemical data to mitigate dual use risk

https://github.com/urielsinger/tbdfs

공식 코드

tBDFS: Temporal Graph Neural Network Leveraging DFS

https://github.com/usail-hkust/bkdfedgcn

공식 코드

Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network

https://github.com/usail-hkust/causality-inspired-gnns

공식 코드

When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook

https://github.com/usccolumbia/deeperGATGNN

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Scalable deeper graph neural networks for high-performance materials property prediction

https://github.com/usccolumbia/materialsuq

공식 코드

Materials Property Prediction with Uncertainty Quantification: A Benchmark Study

https://github.com/user683/DRGO

공식 코드

Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model

https://github.com/usydnlp/inducttgcn

공식 코드

InducT-GCN: Inductive Graph Convolutional Networks for Text Classification

https://github.com/uta-smile/RetroXpert

공식 코드

RetroXpert: Decompose Retrosynthesis Prediction like a Chemist

https://github.com/utkd/cogcn

공식 코드

Graph Neural Network to Dilute Outliers for Refactoring Monolith Application

https://github.com/uzh-dqbm-cmi/graphnn

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DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm

https://github.com/vangiel/WheresTheFellow

공식 코드

Multi-camera Torso Pose Estimation using Graph Neural Networks

https://github.com/vdvchen/sgmnet

공식 코드

Learning to Match Features with Seeded Graph Matching Network

https://github.com/ventr1c/infattack

공식 코드

Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function

https://github.com/vgsatorras/few-shot-gnn

공식 코드

Few-Shot Learning with Graph Neural Networks

https://github.com/vgsatorras/hybrid-inference

공식 코드

Combining Generative and Discriminative Models for Hybrid Inference

https://github.com/victordarvariu/solving-graph-pgg

공식 코드

Solving Graph-based Public Good Games with Tree Search and Imitation Learning

https://github.com/victorzxy/graphac

공식 코드

Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration

https://github.com/vikasverma1077/GraphMix

공식 코드

GraphMix: Improved Training of GNNs for Semi-Supervised Learning

https://github.com/vincentx15/rnattentional

공식 코드

Edge-similarity-aware Graph Neural Networks

https://github.com/vinhsuhi/wge

공식 코드

Two-view Graph Neural Networks for Knowledge Graph Completion

https://github.com/visdata/geneticflow

공식 코드

Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs

https://github.com/viz27/secomm

공식 코드

Unsupervised Constrained Community Detection via Self-Expressive Graph Neural Network

https://github.com/vmart20/PieCoN

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Piecewise Constant Spectral Graph Neural Network

https://github.com/vmtenorio/robust_gnn

공식 코드

Robust Graph Neural Network based on Graph Denoising

https://github.com/vpsg-research/waveguard

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WaveGuard: Robust Deepfake Detection and Source Tracing via Dual-Tree Complex Wavelet and Graph Neural Networks

https://github.com/vthost/DAGNN

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Directed Acyclic Graph Neural Networks

https://github.com/vvarga90/gnn_annot

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Fast Interactive Video Object Segmentation with Graph Neural Networks

https://github.com/waimorris/E-GraphSAGE

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E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT

https://github.com/walidgeuttala/Synthetic-Benchmark-for-Graph-Classification

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On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks

https://github.com/walkieq/gnn-jedinet-fpga

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LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics

https://github.com/wangcunxiang/graph-as-tokens

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Exploiting Abstract Meaning Representation for Open-Domain Question Answering

https://github.com/wangjs96/graph-in-graph-neural-network

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Graph in Graph Neural Network

https://github.com/wangxfng/nfarec

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NFARec: A Negative Feedback-Aware Recommender Model

https://github.com/wangyifeibeijing/user

공식 코드

USER: Unsupervised Structural Entropy-based Robust Graph Neural Network

https://github.com/wangyixinxin/dagi

공식 코드

Imputing Brain Measurements Across Data Sets via Graph Neural Networks

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