Alternatives and similar repositories for GammaGL

Users that are interested in GammaGL are comparing it to the libraries listed below

• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆361Updated 5 months ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆157Updated 11 months ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆243Updated last year
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆232Updated 2 months ago
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆287Updated 2 years ago
• SitaoLuan / LLM4Graph
  ☆186Updated last year
• ICT-GIMLab / SeHGNN
  ☆125Updated 2 years ago
• XiaoxinHe / TAPE
  Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…
  ☆258Updated 9 months ago
• ki-ljl / GNNs-for-Node-Classification
  Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…
  ☆145Updated 2 years ago
• THUDM / HGB
  Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
  ☆337Updated 2 years ago
• THUMNLab / awesome-large-graph-model
  Papers about large graph models.
  ☆287Updated last year
• MingChen-Sun / GPPT
  ☆63Updated 3 years ago
• Cloudy1225 / Awesome-Link-Prediction
  A list of recent papers about Link Prediction.
  ☆122Updated 3 weeks ago
• Starlien95 / GraphPrompt
  GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
  ☆163Updated last year
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆270Updated last year
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆81Updated last year
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆142Updated last year
• W-rudder / TEA-GLM
  ☆60Updated last year
• CurryTang / Graph-LLM
  Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
  ☆319Updated 11 months ago
• WenZhihao666 / G2P2
  Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023
  ☆36Updated last year
• Ffffffffire / HINormer
  ☆33Updated 2 years ago
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆113Updated last year
• ZZy979 / pytorch-tutorial
  PyTorch示例代码；复现GNN模型
  ☆137Updated 4 years ago
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆168Updated 2 years ago
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆107Updated 4 years ago
• sangyx / gtrick
  Bag of Tricks for Graph Neural Networks.
  ☆298Updated last year
• WxxShirley / Awesome-Graph-Prompt
  Awesome Papers About Performing Prompting On Graphs
  ☆421Updated 8 months ago
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆66Updated 3 years ago
• BUPT-GAMMA / OpenHGNN
  This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
  ☆956Updated 4 months ago
• jianxiangyu / MEOW
  ☆33Updated last year