Alternatives and similar repositories for awesome-auto-graph-learning:

Users that are interested in awesome-auto-graph-learning are comparing it to the libraries listed below

• logseminar / Schedule
  Schedule for learning on graphs seminar
  ☆110Updated last year
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆166Updated last year
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆121Updated last year
• ivam-he / BernNet
  PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
  ☆53Updated last year
• Xtra-Computing / Awesome-Literature-ILoGs
  Awesome literature on imbalanced learning on graphs
  ☆75Updated 6 months ago
• GraphPKU / JacobiConv
  How Powerful are Spectral Graph Neural Networks
  ☆71Updated last year
• doujiang-zheng / Dynamic-Temporal-Graph-Learning-Reading-List
  Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.
  ☆57Updated last year
• Oceanusity / awesome-gnns-on-large-scale-graphs
  ☆134Updated last year
• jianhao2016 / GPRGNN
  ☆132Updated last year
• qitianwu / GraphOOD-EERM
  The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"
  ☆85Updated 2 years ago
• EdisonLeeeee / GreatX
  A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
  ☆85Updated 5 months ago
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆243Updated 3 months ago
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆101Updated 2 years ago
• MingChen-Sun / GPPT
  ☆57Updated 2 years ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆54Updated last year
• liun-online / SpCo
  The source code of SpCo
  ☆35Updated last year
• PKU-DAIR / SGL
  A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
  ☆148Updated 10 months ago
• SitaoLuan / LLM4Graph
  ☆169Updated 11 months ago
• flyingdoog / PTDNet
  Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification
  ☆77Updated 3 years ago
• BUPT-GAMMA / Uncovering-the-Structural-Fairness-in-Graph-Contrastive-Learning
  Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"
  ☆29Updated 2 years ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆205Updated 9 months ago
• yanghu819 / Graph-MLP
  ☆76Updated 3 years ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆106Updated 8 months ago
• CongWeilin / GraphMixer
  ☆99Updated last year
• yandex-research / heterophilous-graphs
  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?
  ☆109Updated 2 years ago
• TimeLovercc / Awesome-Graph-Causal-Learning
  A list of Graph Causal Learning materials.
  ☆191Updated last month
• snap-research / graphless-neural-networks
  [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)
  ☆88Updated 4 months ago
• PKU-DAIR / GAMLP
  Code of GAMLP for Open Graph Benchmark. KDD‘22
  ☆61Updated 2 years ago
• Starlien95 / GraphPrompt
  GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
  ☆152Updated 4 months ago
• zwt233 / NDLS
  Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)
  ☆21Updated 2 years ago