Graph-and-Geometric-Learning / HyBRiD

Related projects ⓘ

Alternatives and complementary repositories for HyBRiD

• meettyj / NOSMOG
  Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".
  ☆29Updated last year
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆42Updated 2 years ago
• YuanchenBei / Awesome-Graph-Structure-Learning
  A curated list of papers on graph structure learning (GSL).
  ☆39Updated 4 months ago
• IntelliDAL / Graph
  ☆12Updated 2 months ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆52Updated 10 months ago
• yongduosui / AIA
  [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…
  ☆16Updated last year
• zyzisastudyreallyhardguy / Graph-Group-Discrimination
  Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…
  ☆54Updated last year
• hedongxiao-tju / HOG-GCN
  ☆37Updated 2 years ago
• yanliang3612 / awesome-imbalanced-learning-on-graphs
  A repository contains a collection of resources and papers on Imbalance Learning On Graphs
  ☆84Updated 2 months ago
• yifeiacc / COSTA
  Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
  ☆47Updated last year
• yixinliu233 / D2PT
  [KDD'23] Learning Strong Graph Neural Networks with Weak Information
  ☆43Updated last year
• LuckyTiger123 / GPF
  The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
  ☆20Updated last year
• Samyu0304 / graph-information-bottleneck-for-Subgraph-Recognition
  ☆50Updated 2 years ago
• uestclbh / PC-Conv
  ☆10Updated 10 months ago
• EdisonLeeeee / MaskGAE
  [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
  ☆79Updated 3 weeks ago
• Anwar-Said / NeuroGraph
  Benchmarks for Graph Machine Learning in Brain Connectomics
  ☆24Updated 2 months ago
• liun-online / CoGSL
  Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression
  ☆24Updated 8 months ago
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆66Updated 5 months ago
• draym28 / LSGNN
  LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
  ☆16Updated 2 weeks ago
• ivam-he / PSHGCN
  ☆15Updated last year
• tengxiao1 / GraphACL
  GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)
  ☆24Updated 5 months ago
• junxia97 / SimGRACE
  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆77Updated 2 years ago
• statsle / DDM
  Directional diffusion models
  ☆31Updated 3 weeks ago
• Leirunlin / EvenNet
  Pytorch implementation of EvenNet.
  ☆19Updated 2 years ago
• Xzh0u / GBK-GNN
  Code for GBK-GNN (paper accepted by WWW2022)
  ☆15Updated 2 years ago
• Namkyeong / BGRL_Pytorch
  Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
  ☆74Updated 2 years ago
• lsh0520 / RGCL
  Ratioanle-aware Graph Contrastive Learning codebase
  ☆39Updated last year
• Ffffffffire / HINormer
  ☆30Updated last year
• zknus / Graph-Diffusion-CDE
  Graph Neural Convection-Diffusion with Heterophily
  ☆11Updated last year
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆74Updated this week