Alternatives and similar repositories for one-shot-optimization:

Users that are interested in one-shot-optimization are comparing it to the libraries listed below

• hwangyong753 / NADE
  ☆13Updated 7 months ago
• jeongwhanchoi / GREAD
  GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023
  ☆58Updated 11 months ago
• jeongwhanchoi / STG-NRDE
  "Graph Neural Rough Differential Equations for Traffic Forecasting", ACM TIST
  ☆14Updated 2 years ago
• jeongwhanchoi / LT-OCF
  LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
  ☆34Updated 8 months ago
• qbxlvnf11 / HMLET
  HMLET (Hybrid-Method-of-Linear-and-non-linEar-collaborative-filTering-method)
  ☆20Updated 3 years ago
• jeehyunHwang / Neural-Diffusion-Equation
  NDE: Climate Modeling with Neural Diffusion Equation, ICDM'21
  ☆23Updated 3 years ago
• jeongwhanchoi / BSPM
  Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23
  ☆100Updated 8 months ago
• dev-jwel / TiaRa
  Implementation of Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning (AAAI-23)
  ☆16Updated 2 years ago
• jeongwhanchoi / STG-NCDE
  "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
  ☆148Updated 7 months ago
• yuyudeep / hcmt
  ☆21Updated 11 months ago
• TaiLvYuanLiang / HGWaveNet
  ☆12Updated last year
• sheoyon-jhin / ACE-NODE
  Attentive Co-Evolving Neural Ordinary Differential Equations
  ☆28Updated last year
• sheoyon-jhin / EXIT
  EXIT : Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting
  ☆13Updated last year
• young917 / MiDaS
  WWW22 - MiDaS: Representative Hypergraph Sampling
  ☆12Updated 11 months ago
• young917 / EdgeDependentNodeLabel
  KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs
  ☆18Updated 9 months ago
• geonwooko / MULE
  MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation (CIKM 2024)
  ☆11Updated 4 months ago
• kswoo97 / pcl
  Published as a journal paper at DAMI 2023
  ☆16Updated 2 months ago
• alexfanjn / FAGCN_PyG
  Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…
  ☆22Updated 2 years ago
• K-Kyungho / PET
  Official code for "Towards Better Utilzation of Multiple Views for Bundle Recommendation" (CIKM 24 Short)
  ☆19Updated 4 months ago
• NAVER-INTEL-Co-Lab / gaudi-geometric-learning
  Handbook for Geometric Deep Learning with Intel Gaudi-v2 Devices
  ☆21Updated last month
• geon0325 / LightGCNpp
  Source code for the RecSys 2024 paper "Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recomm…
  ☆10Updated 2 months ago
• Junseok0207 / GraFN
  The official source code for "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignm…
  ☆25Updated 2 years ago
• jeongwhanchoi / PANDA
  🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024
  ☆20Updated 7 months ago
• ShinhwanKang / BeGin
  Easy-to-use framework for graph continual learning with Python
  ☆34Updated 6 months ago
• SukwonYun / S-Mixup
  The official source code for "S-Mixup: Structural Mixup for Graph Neural Networks", accepted at CIKM 2023 (Short Paper).
  ☆18Updated last year
• Yifang-Qin / DisenPOI
  The pytorch implementation of DisenPOI.
  ☆18Updated last year
• KanghoonYoon / torch-metacon
  Pytorch Implmentation of Meta Attack via Contrastive Surrogate Objective
  ☆11Updated 11 months ago
• wenqifan03 / GTN-SIGIR2022
  Graph Trend Filtering Networks for Recommendations, SIGIR'2022
  ☆25Updated 3 years ago
• RManLuo / GSNOP
  Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
  ☆33Updated last year
• huangJC0429 / Mid-GCN
  This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)
  ☆13Updated 2 years ago