repo_url
stringlengths 26
200
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stringlengths 9
16
| framework
stringclasses 9
values | official_status
stringclasses 2
values | mention_source
stringclasses 3
values |
|---|---|---|---|---|---|---|
https://github.com/zhufq00/mcnc
|
https://paperswithcode.com/paper/a-generative-approach-for-script-event-1
|
A Generative Approach for Script Event Prediction via Contrastive Fine-tuning
|
2212.03496
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/google-research/scenic/tree/main/scenic/projects/gerald
|
https://paperswithcode.com/paper/a-generative-approach-for-wikipedia-scale
|
A Generative Approach for Wikipedia-Scale Visual Entity Recognition
|
2403.02041
|
jax
|
β
Official
|
β No Mention
|
https://github.com/akumar2709/fides_asiaccs
|
https://paperswithcode.com/paper/fides-a-generative-framework-for-result
|
A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service Inference
|
2304.00083
|
tf
|
β
Official
|
π In Paper
|
https://github.com/schmidtjonathan/climate2weather
|
https://paperswithcode.com/paper/spatiotemporally-coherent-probabilistic
|
A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation
|
2412.15361
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/ryanhe312/LatentFace
|
https://paperswithcode.com/paper/unsupervised-disentangling-of-facial
|
A Generative Framework for Self-Supervised Facial Representation Learning
|
2309.08273
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/vkkhare/ZSL-ADA
|
https://paperswithcode.com/paper/a-generative-framework-for-zero-shot-learning
|
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation
|
1906.03038
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/salesforce/fewshot_absa
|
https://paperswithcode.com/paper/a-generative-language-model-for-few-shot-1
|
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis
|
2204.05356
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/JRC-ISIA/paper-2024-eurocast-honeypot
|
https://paperswithcode.com/paper/a-generative-model-based-honeypot-for
|
A Generative Model Based Honeypot for Industrial OPC UA Communication
|
2410.21574
|
none
|
β
Official
|
β No Mention
|
https://github.com/KanHatakeyama/gen_model
|
https://paperswithcode.com/paper/a-generative-model-for-extrapolation
|
A Generative Model for Extrapolation Prediction in Materials Informatics
|
2103.00157
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/andy194673/Joint-NLU-NLG
|
https://paperswithcode.com/paper/a-generative-model-for-joint-natural-language
|
A Generative Model for Joint Natural Language Understanding and Generation
|
2006.07499
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/gncs/graphdg
|
https://paperswithcode.com/paper/a-generative-model-for-molecular-distance-1
|
A Generative Model for Molecular Distance Geometry
|
1909.11459
|
tf
|
β
Official
|
π In Paper
|
https://github.com/matthewberger/tfgan
|
https://paperswithcode.com/paper/a-generative-model-for-volume-rendering
|
A Generative Model for Volume Rendering
|
1710.09545
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/cambridge-mlg/sgm
|
https://paperswithcode.com/paper/a-generative-model-of-symmetry
|
A Generative Model of Symmetry Transformations
|
2403.01946
|
jax
|
β
Official
|
π In Paper
|
https://github.com/nnssa/rec21
|
https://paperswithcode.com/paper/a-generative-modeling-approach-to
|
A Generative Modeling Approach to Reconstructing 21-cm Tomographic Data
|
2407.21097
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/hunorlaczko/pyramid-drape
|
https://paperswithcode.com/paper/a-generative-multi-resolution-pyramid-and
|
A Generative Multi-Resolution Pyramid and Normal-Conditioning 3D Cloth Draping
|
2311.02700
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/dawenl/pof
|
https://paperswithcode.com/paper/a-generative-product-of-filters-model-of
|
A Generative Product-of-Filters Model of Audio
|
1312.5857
|
none
|
β
Official
|
π In Paper
|
https://github.com/thu-spmi/gus
|
https://paperswithcode.com/paper/a-generative-user-simulator-with-gpt-based
|
A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems
|
2210.08692
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/habring/generative_variational_reg
|
https://paperswithcode.com/paper/a-generative-variational-model-for-inverse
|
A Generative Variational Model for Inverse Problems in Imaging
|
2104.12630
|
none
|
β
Official
|
π In Paper
|
https://github.com/kinit-sk/claim-retrieval
|
https://paperswithcode.com/paper/a-generative-ai-driven-claim-retrieval-system
|
A Generative-AI-Driven Claim Retrieval System Capable of Detecting and Retrieving Claims from Social Media Platforms in Multiple Languages
|
2504.20668
|
none
|
β
Official
|
π In Paper
|
https://github.com/xiaozhu-zhang1998/gigcpp
|
https://paperswithcode.com/paper/a-generator-for-generalized-inverse-gaussian
|
A Generator for Generalized Inverse Gaussian Distributions
|
2211.13049
|
none
|
β
Official
|
π In Paper
|
https://github.com/KuluAndrej/NIPS-2019-code
|
https://paperswithcode.com/paper/a-generic-acceleration-framework-for
|
A Generic Acceleration Framework for Stochastic Composite Optimization
|
1906.01164
|
none
|
β
Official
|
π In Paper
|
https://github.com/yunzhe-zhou/GenericDistillation
|
https://paperswithcode.com/paper/a-generic-approach-for-statistical-stability
|
A Generic Approach for Reproducible Model Distillation
|
2211.12631
|
none
|
β
Official
|
π In Paper
|
https://github.com/flekschas/piling.js
|
https://paperswithcode.com/paper/a-generic-framework-and-library-for
|
A Generic Framework and Library for Exploration of Small Multiples through Interactive Piling
|
2005.00595
|
none
|
β
Official
|
π In Paper
|
https://github.com/adityavadlamani/conformal-fairness
|
https://paperswithcode.com/paper/a-generic-framework-for-conformal-fairness
|
A Generic Framework for Conformal Fairness
|
2505.16115
|
jax
|
β
Official
|
π In Paper
|
https://github.com/jakobandersen/graph_canon
|
https://paperswithcode.com/paper/a-generic-framework-for-engineering-graph
|
A Generic Framework for Engineering Graph Canonization Algorithms
|
1711.08289
|
none
|
β
Official
|
π In Paper
|
https://github.com/rfechner/generic-hmm
|
https://paperswithcode.com/paper/a-generic-framework-for-hidden-markov-models
|
A Generic Framework for Hidden Markov Models on Biomedical Data
|
2307.13288
|
none
|
β
Official
|
π In Paper
|
https://github.com/rwickman/sparrl-pytorch
|
https://paperswithcode.com/paper/sparrl-graph-sparsification-via-deep-1
|
A Generic Graph Sparsification Framework using Deep Reinforcement Learning
|
2112.01565
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/SeSaMe-NUS/genie
|
https://paperswithcode.com/paper/a-generic-inverted-index-framework-for
|
A Generic Inverted Index Framework for Similarity Search on the GPU - Technical Report
|
1603.08390
|
none
|
β
Official
|
π In Paper
|
https://github.com/gauthamkrishna-g/Dynamic-Gesture-Recognition
|
https://paperswithcode.com/paper/a-generic-multi-modal-dynamic-gesture
|
A Generic Multi-modal Dynamic Gesture Recognition System using Machine Learning
|
1809.05839
|
none
|
β
Official
|
β No Mention
|
https://github.com/siat-nlp/CpRec
|
https://paperswithcode.com/paper/a-generic-network-compression-framework-for
|
A Generic Network Compression Framework for Sequential Recommender Systems
|
2004.13139
|
tf
|
β
Official
|
π In Paper
|
https://github.com/shih-hao-tseng/UCP-Solver
|
https://paperswithcode.com/paper/a-generic-solver-for-unconstrained-control
|
A Generic Solver for Unconstrained Control Problems with Integral Functional Objectives
|
1908.04489
|
none
|
β
Official
|
π In Paper
|
https://github.com/rex-sys-hk/awsplanning
|
https://paperswithcode.com/paper/a-generic-trajectory-planning-method-for
|
A Generic Trajectory Planning Method for Constrained All-Wheel-Steering Robots
|
2404.09677
|
none
|
β
Official
|
π In Paper
|
https://github.com/antoniobarbalau/exemplar
|
https://paperswithcode.com/paper/a-generic-and-model-agnostic-exemplar
|
A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI
|
2006.03896
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/tamoraji/ga_for_gqap
|
https://paperswithcode.com/paper/a-genetic-algorithm-meta-heuristic-for-a
|
A Genetic Algorithm Meta-Heuristic for a Generalized Quadratic Assignment Problem
|
2308.07828
|
none
|
β
Official
|
π In Paper
|
https://github.com/jtbish/fuzzy-mococo
|
https://paperswithcode.com/paper/a-genetic-fuzzy-system-for-interpretable-and
|
A Genetic Fuzzy System for Interpretable and Parsimonious Reinforcement Learning Policies
|
2305.09922
|
none
|
β
Official
|
π In Paper
|
https://github.com/benchoi93/dgmintransportation
|
https://paperswithcode.com/paper/a-gentle-introduction-and-tutorial-on-deep
|
A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research
|
2410.07066
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/aangelopoulos/conformal-prediction
|
https://paperswithcode.com/paper/a-gentle-introduction-to-conformal-prediction
|
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
|
2107.07511
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/OpenLinkSoftware/GeoSPARQLBenchmark
|
https://paperswithcode.com/paper/a-geosparql-compliance-benchmark
|
A GeoSPARQL Compliance Benchmark
|
2102.06139
|
none
|
β
Official
|
π In Paper
|
https://github.com/wlsdzyzl/dragon
|
https://paperswithcode.com/paper/a-geometric-algorithm-for-tubular-shape
|
A Geometric Algorithm for Tubular Shape Reconstruction from Skeletal Representation
|
2402.12797
|
none
|
β
Official
|
π In Paper
|
https://github.com/tding1/Neural-Collapse
|
https://paperswithcode.com/paper/a-geometric-analysis-of-neural-collapse-with
|
A Geometric Analysis of Neural Collapse with Unconstrained Features
|
2105.02375
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/SAmmarAbbas/birds-eye-view
|
https://paperswithcode.com/paper/a-geometric-approach-to-obtain-a-birds-eye
|
A Geometric Approach to Obtain a Bird's Eye View from an Image
|
1905.02231
|
tf
|
β
Official
|
π In Paper
|
https://github.com/layer6ai-labs/dgm_ood_detection
|
https://paperswithcode.com/paper/a-geometric-explanation-of-the-likelihood-ood
|
A Geometric Explanation of the Likelihood OOD Detection Paradox
|
2403.18910
|
pytorch
|
β
Official
|
π In Paper
|
https://bitbucket.org/stefansommer/stochlandyn
|
https://paperswithcode.com/paper/a-geometric-framework-for-stochastic-shape
|
A Geometric Framework for Stochastic Shape Analysis
|
1703.09971
|
none
|
β
Official
|
π In Paper
|
https://github.com/nosleepdeveloper/geometric-calibrator
|
https://paperswithcode.com/paper/a-geometric-method-for-improved-uncertainty
|
A Geometric Method for Improved Uncertainty Estimation in Real-time
|
2206.11562
|
tf
|
β
Official
|
π In Paper
|
https://github.com/rycolab/causalgeom
|
https://paperswithcode.com/paper/a-geometric-notion-of-causal-probing
|
A Geometric Notion of Causal Probing
|
2307.15054
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/abdouskamel/hyper-mge
|
https://paperswithcode.com/paper/a-geometric-perspective-for-high-dimensional
|
A Geometric Perspective for High-Dimensional Multiplex Graphs
|
2501.17374
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/gt-ripl/geometric-sensitivity-decomposition
|
https://paperswithcode.com/paper/a-geometric-perspective-towards-neural
|
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition
|
2110.14577
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/nikolas-claussen/ce_simulation_public
|
https://paperswithcode.com/paper/a-geometric-tension-dynamics-model-of
|
A Geometric Tension Dynamics Model of Epithelial Convergent Extension
|
2311.16384
|
jax
|
β
Official
|
π In Paper
|
https://github.com/V-Sense/A-Geometry-Sensitive-Approach-for-Photographic-Style-Classification
|
https://paperswithcode.com/paper/a-geometry-sensitive-approach-for
|
A Geometry-Sensitive Approach for Photographic Style Classification
|
1909.01040
|
pytorch
|
β
Official
|
β No Mention
|
https://github.com/sk8053/geostochasticchanmodel
|
https://paperswithcode.com/paper/a-geometry-based-stochastic-wireless-channel
|
A Geometry-based Stochastic Wireless Channel Model using Channel Images
|
2312.06637
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/abmantz/lrgs
|
https://paperswithcode.com/paper/a-gibbs-sampler-for-multivariate-linear
|
A Gibbs Sampler for Multivariate Linear Regression
|
1509.00908
|
none
|
β
Official
|
π In Paper
|
https://github.com/pierrejacob/dempsterpolytope
|
https://paperswithcode.com/paper/a-gibbs-sampler-for-a-class-of-random-convex
|
A Gibbs sampler for a class of random convex polytopes
|
1910.11953
|
none
|
β
Official
|
π In Paper
|
https://github.com/jongwooko/alasca
|
https://paperswithcode.com/paper/alasca-rethinking-label-smoothing-for-deep
|
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise
|
2206.07277
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/osupcvlab/ubiheredrone2021
|
https://paperswithcode.com/paper/a-gis-aided-approach-for-geolocalizing-an
|
A Gis Aided Approach for Geolocalizing an Unmanned Aerial System Using Deep Learning
|
2208.12251
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/epfl-dlab/llm-grounding-analysis
|
https://paperswithcode.com/paper/a-glitch-in-the-matrix-locating-and-detecting
|
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia
|
2312.02073
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/johnjvickers/ppmxl_correction
|
https://paperswithcode.com/paper/a-global-correction-to-ppmxl-proper-motions
|
A Global Correction to PPMXL Proper Motions
|
1602.08868
|
none
|
β
Official
|
π In Paper
|
https://github.com/wetang7/hecl
|
https://paperswithcode.com/paper/a-global-and-patch-wise-contrastive-loss-for
|
A Global and Patch-wise Contrastive Loss for Accurate Automated Exudate Detection
|
2302.11517
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/WangHelin1997/GL-AT
|
https://paperswithcode.com/paper/a-global-local-attention-framework-for-weakly
|
A Global-local Attention Framework for Weakly Labelled Audio Tagging
|
2102.01931
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/seisscoped/quakescope
|
https://paperswithcode.com/paper/a-global-scale-database-of-seismic-phases
|
A Global-scale Database of Seismic Phases from Cloud-based Picking at Petabyte Scale
|
2505.18874
|
none
|
β
Official
|
π In Paper
|
https://github.com/danieltschernutter/dcon
|
https://paperswithcode.com/paper/a-globally-convergent-algorithm-for-neural
|
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions
|
2401.07936
|
tf
|
β
Official
|
π In Paper
|
https://github.com/gliuzzi/gmm
|
https://paperswithcode.com/paper/a-globally-convergent-gradient-method-with
|
A Globally Convergent Gradient Method with Momentum
|
2403.17613
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/nosnoc/mpecopt
|
https://paperswithcode.com/paper/a-globally-convergent-method-for-computing-b
|
A Globally Convergent Method for Computing B-stationary Points of Mathematical Programs with Equilibrium Constraints
|
2501.13835
|
none
|
β
Official
|
π In Paper
|
https://github.com/bmatthiesen/deep-EE-opt
|
https://paperswithcode.com/paper/deep-learning-for-optimal-energy-efficient
|
A Globally Optimal Energy-Efficient Power Control Framework and its Efficient Implementation in Wireless Interference Networks
|
1812.06920
|
tf
|
β
Official
|
π In Paper
|
https://github.com/nlgcat/evaluating_accuracy
|
https://paperswithcode.com/paper/a-gold-standard-methodology-for-evaluating
|
A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems
|
2011.03992
|
none
|
β
Official
|
π In Paper
|
https://github.com/hanshanley/golden-age
|
https://paperswithcode.com/paper/a-golden-age-conspiracy-theories-relationship
|
A Golden Age: Conspiracy Theories' Relationship with Misinformation Outlets, News Media, and the Wider Internet
|
2301.10880
|
none
|
β
Official
|
π In Paper
|
https://github.com/robot-learning-freiburg/PASTEL
|
https://paperswithcode.com/paper/a-good-foundation-is-worth-many-labels-label
|
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation
|
2405.19035
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/snap-research/MoCoGAN-HD
|
https://paperswithcode.com/paper/a-good-image-generator-is-what-you-need-for-1
|
A Good Image Generator Is What You Need for High-Resolution Video Synthesis
|
2104.15069
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/woojeongjin/fewvlm
|
https://paperswithcode.com/paper/a-good-prompt-is-worth-millions-of-parameters
|
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models
|
2110.08484
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/kedz/noiseylg
|
https://paperswithcode.com/paper/a-good-sample-is-hard-to-find-noise-injection
|
A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models
|
1911.03373
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/udg-lai/keps2023
|
https://paperswithcode.com/paper/a-good-snowman-is-hard-to-plan
|
A Good Snowman is Hard to Plan
|
2310.01471
|
none
|
β
Official
|
π In Paper
|
https://github.com/GAA-UAM/GB-CNN
|
https://paperswithcode.com/paper/boosting-the-performance-of-deep-learning-a
|
A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks
|
2302.11327
|
none
|
β
Official
|
π On GitHub
|
https://github.com/EkdeepSLubana/flowandprune
|
https://paperswithcode.com/paper/a-gradient-flow-framework-for-analyzing
|
A Gradient Flow Framework For Analyzing Network Pruning
|
2009.11839
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/intellhave/ASKER
|
https://paperswithcode.com/paper/a-graduated-filter-method-for-large-scale
|
A Graduated Filter Method for Large Scale Robust Estimation
|
2003.09080
|
none
|
β
Official
|
π In Paper
|
https://github.com/zysszy/GrammarCNN
|
https://paperswithcode.com/paper/a-grammar-based-structural-cnn-decoder-for
|
A Grammar-Based Structural CNN Decoder for Code Generation
|
1811.06837
|
tf
|
β
Official
|
π In Paper
|
https://github.com/fabro66/GAST-Net-3DPoseEstimation
|
https://paperswithcode.com/paper/gast-net-graph-attention-spatio-temporal
|
A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in Video
|
2003.14179
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/WuLoli/GAEseq
|
https://paperswithcode.com/paper/a-graph-auto-encoder-for-haplotype-assembly
|
A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
|
1911.05316
|
tf
|
β
Official
|
π In Paper
|
https://github.com/victorchan314/arterial_traffic_flow_predictor
|
https://paperswithcode.com/paper/a-graph-convolutional-network-with-signal
|
A Graph Convolutional Network with Signal Phasing Information for Arterial Traffic Prediction
|
2012.13479
|
none
|
β
Official
|
π In Paper
|
https://github.com/dadacheng/gdp
|
https://paperswithcode.com/paper/a-dynamical-graph-prior-for-relational
|
A Graph Dynamics Prior for Relational Inference
|
2306.06041
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/hans66hsu/structured_uncertainty_metrics
|
https://paperswithcode.com/paper/a-graph-is-more-than-its-nodes-towards
|
A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs
|
2210.15575
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/3dem/model-angelo
|
https://paperswithcode.com/paper/modelangelo-automated-model-building-in-cryo
|
A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps
|
2210.00006
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/rfjd/gns-dispersedsystems
|
https://paperswithcode.com/paper/a-graph-neural-network-approach-to-dispersed
|
A Graph Neural Network Simulation of Dispersed Systems
|
2412.02967
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/utkarshxsahu/kgc
|
https://paperswithcode.com/paper/a-graph-perspective-to-probe-structural
|
A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models
|
2505.19286
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/xcjian/ggsp-detection
|
https://paperswithcode.com/paper/a-graph-signal-processing-perspective-of
|
A Graph Signal Processing Perspective of Network Multiple Hypothesis Testing with False Discovery Rate Control
|
2408.03142
|
none
|
β
Official
|
π In Paper
|
https://github.com/rusen/CHOP
|
https://paperswithcode.com/paper/a-graph-theoretic-approach-for-object-shape
|
A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model
|
1501.05192
|
none
|
β
Official
|
π In Paper
|
https://github.com/alvinzhaowei/gamcn
|
https://paperswithcode.com/paper/a-graph-and-attentive-multi-path
|
A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction
|
2205.15218
|
tf
|
β
Official
|
π In Paper
|
https://github.com/A4Bio/GraphsGPT
|
https://paperswithcode.com/paper/a-graph-is-worth-k-words-euclideanizing-graph
|
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
|
2402.02464
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/edisonleeeee/spikegcl
|
https://paperswithcode.com/paper/a-graph-is-worth-1-bit-spikes-when-graph
|
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
|
2305.19306
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/orhir/PoseAnything
|
https://paperswithcode.com/paper/pose-anything-a-graph-based-approach-for
|
A Graph-Based Approach for Category-Agnostic Pose Estimation
|
2311.17891
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/ipcv/soccer_action_spotting
|
https://paperswithcode.com/paper/a-graph-based-method-for-soccer-action
|
A Graph-Based Method for Soccer Action Spotting Using Unsupervised Player Classification
|
2211.12334
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/ch4osmy7h/framenetparser
|
https://paperswithcode.com/paper/a-graph-based-neural-model-for-end-to-end
|
A Graph-Based Neural Model for End-to-End Frame Semantic Parsing
|
2109.12319
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/chiangel/graphcm
|
https://paperswithcode.com/paper/a-graph-enhanced-click-model-for-web-search-1
|
A Graph-Enhanced Click Model for Web Search
|
2206.08621
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/deeplearning-wisc/sorl
|
https://paperswithcode.com/paper/a-graph-theoretic-framework-for-understanding-1
|
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
|
2311.03524
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/eric-l-manibardo/road_embedding
|
https://paperswithcode.com/paper/on-the-design-of-graph-embeddings-for-the
|
A Graph-based Methodology for the Sensorless Estimation of Road Traffic Profiles
|
2201.04968
|
tf
|
β
Official
|
π In Paper
|
https://github.com/fastnlp/JointCwsParser
|
https://paperswithcode.com/paper/a-unified-model-for-joint-chinese-word
|
A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing
|
1904.04697
|
pytorch
|
β
Official
|
π In Paper
|
https://bitbucket.org/freelist/gm_handeye
|
https://paperswithcode.com/paper/a-graph-based-optimization-framework-for-hand
|
A Graph-based Optimization Framework for Hand-Eye Calibration for Multi-Camera Setups
|
2303.04747
|
none
|
β
Official
|
π In Paper
|
https://github.com/CRIPAC-DIG/GRMM
|
https://paperswithcode.com/paper/a-graph-based-relevance-matching-model-for-ad
|
A Graph-based Relevance Matching Model for Ad-hoc Retrieval
|
2101.11873
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/henckell/interferencecode
|
https://paperswithcode.com/paper/a-graphical-approach-to-treatment-effect
|
A Graphical Approach to Treatment Effect Estimation with Observational Network Data
|
2312.02717
|
none
|
β
Official
|
π In Paper
|
https://github.com/kyoungstats/lassosr
|
https://paperswithcode.com/paper/a-graphical-comparison-of-screening-designs
|
A Graphical Comparison of Screening Designs using Support Recovery Probabilities
|
2311.12685
|
none
|
β
Official
|
π In Paper
|
https://github.com/danielacabiddu/pemesh
|
https://paperswithcode.com/paper/pemesh-a-graphical-framework-for-the-analysis
|
A Graphical Framework to Study the Correlation between Geometric Design and Simulation
|
2102.11578
|
none
|
β
Official
|
π In Paper
|
https://github.com/maktukmak/microbiome-thor
|
https://paperswithcode.com/paper/a-graphical-model-for-fusing-diverse
|
A Graphical Model for Fusing Diverse Microbiome Data
|
2208.09934
|
none
|
β
Official
|
π In Paper
|
Subsets and Splits
Unique ArXiv IDs in Train Data
Identifies and retrieves records of papers that appear only once in the dataset, helping to understand unique entries.