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Graph Attention

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

https://github.com/mudit-dhawan/game-on

공식 코드

GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detection

https://github.com/muyeby/RGAT-ABSA

공식 코드

Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network

https://github.com/mztmzt/gat_csbm

공식 코드

Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models

https://github.com/nabavilab/multimodal-gnn-for-cancer-subtype-clasification

공식 코드

A Multimodal Graph Neural Network Framework of Cancer Molecular Subtype Classification

https://github.com/nanw16/GTNet

공식 코드

GTNet: A Tree-Based Deep Graph Learning Architecture

https://github.com/neuir/co-gat

공식 코드

Multi-Evidence based Fact Verification via A Confidential Graph Neural Network

https://github.com/nguyenvo09/fact_checking_url_resys

공식 코드

Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation

https://github.com/nik-v9/airobject

공식 코드

AirObject: A Temporally Evolving Graph Embedding for Object Identification

https://github.com/nikhilnayak-debug/am220

공식 코드

Graph Attention for Heterogeneous Graphs with Positional Encoding

https://github.com/nikita6187/transportplanningdataset

공식 코드

Graph neural network surrogate for strategic transport planning

https://github.com/njchoma/DGAPN

공식 코드

Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery

https://github.com/njunlp/SKER

공식 코드

Synonym Knowledge Enhanced Reader for Chinese Idiom Reading Comprehension

https://github.com/nlp-rl/ki-ddi

공식 코드

Towards Knowledge-Infused Automated Disease Diagnosis Assistant

https://github.com/nlperi2b/triple-gnns-

공식 코드

Triple GNNs: Introducing Syntactic and Semantic Information for Conversational Aspect-Based Quadruple Sentiment Analysis

https://github.com/noanonkes/Hallucination-Detection-in-LLMs

공식 코드

Leveraging Graph Structures to Detect Hallucinations in Large Language Models

https://github.com/nokpil/agentnet

공식 코드

Deep learning reveals hidden interactions in complex systems

https://github.com/nslab-cuk/halal-or-not

공식 코드

Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products

https://github.com/nust-machine-intelligence-laboratory/hpan

공식 코드

Holistic Prototype Attention Network for Few-Shot VOS

https://github.com/onmyoji-xiao/3dvg_secg

공식 코드

SeCG: Semantic-Enhanced 3D Visual Grounding via Cross-modal Graph Attention

https://github.com/onmyoji-xiao/AS3D

공식 코드

AS3D: 2D-Assisted Cross-Modal Understanding with Semantic-Spatial Scene Graphs for 3D Visual Grounding

https://github.com/pangolulu/exact-k-recommendation

공식 코드

Exact-K Recommendation via Maximal Clique Optimization

https://github.com/pengguo318/RoutingProblemGANN

공식 코드

Solve routing problems with a residual edge-graph attention neural network

https://github.com/pengqianhan/STF-Spatial-Temporal-Fusion-for-Trajectory-Prediction

공식 코드

STF: Spatial Temporal Fusion for Trajectory Prediction

https://github.com/pengsl-lab/mssl

공식 코드

Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery

https://github.com/pengsl-lab/mssl2drug

공식 코드

Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery

https://github.com/petergriffinjin/heterformer

공식 코드

Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks

https://github.com/phd-lanyu/spikegraphormer

공식 코드

SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention

https://github.com/pku-dair/gamlp

공식 코드

Graph Attention Multi-Layer Perceptron

https://github.com/pku-ml/message-passing-contrastive-learning

공식 코드

A Message Passing Perspective on Learning Dynamics of Contrastive Learning

https://github.com/prasunc/hemodynamics

공식 코드

Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment

https://github.com/proroklab/magat_pathplanning

공식 코드

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning

https://github.com/qianghuangwhu/tf-tgn

공식 코드

Retrofitting Temporal Graph Neural Networks with Transformer

https://github.com/quanmai/SGA

공식 코드

Sequence Graph Network for Online Debate Analysis

https://github.com/raaslab/rl_multi_agent

공식 코드

Multi-Agent Reinforcement Learning for Visibility-based Persistent Monitoring

https://github.com/raffaelegalliera/melissa

공식 코드

Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning

https://github.com/raktim-mondol/graphite

공식 코드

GRAPHITE: Graph-Based Interpretable Tissue Examination for Enhanced Explainability in Breast Cancer Histopathology

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