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)
  ☆355Updated 4 months ago
• SitaoLuan / LLM4Graph
  ☆186Updated last year
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆239Updated last year
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆154Updated 10 months ago
• ICT-GIMLab / SeHGNN
  ☆124Updated 2 years ago
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆283Updated 2 years ago
• XiaoxinHe / TAPE
  Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…
  ☆257Updated 8 months ago
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆109Updated last year
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆229Updated last month
• xkLi-Allen / Awesome-GNN-in-LLMs-Papers
  ☆74Updated last year
• ZZy979 / pytorch-tutorial
  PyTorch示例代码；复现GNN模型
  ☆138Updated 4 years ago
• Starlien95 / GraphPrompt
  GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
  ☆163Updated last year
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆107Updated 4 years ago
• MingChen-Sun / GPPT
  ☆61Updated 3 years ago
• Cloudy1225 / Awesome-Link-Prediction
  A list of recent papers about Link Prediction.
  ☆117Updated 3 weeks ago
• THUDM / HGB
  Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
  ☆338Updated 2 years ago
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆80Updated last year
• Oceanusity / awesome-gnns-on-large-scale-graphs
  ☆138Updated 2 years ago
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆66Updated 2 years ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆137Updated last year
• W-rudder / TEA-GLM
  ☆56Updated last year
• WenZhihao666 / G2P2
  Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023
  ☆35Updated 11 months ago
• CurryTang / Graph-LLM
  Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
  ☆315Updated 9 months ago
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆266Updated last year
• BUPT-GAMMA / OpenHGNN
  This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
  ☆951Updated 3 months ago
• THUMNLab / awesome-large-graph-model
  Papers about large graph models.
  ☆286Updated last year
• THUMNLab / awesome-auto-graph-learning
  A paper collection about automated graph learning
  ☆98Updated last year
• OpenGSL / OpenGSL
  ☆181Updated 11 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…
  ☆143Updated 2 years ago
• YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks
  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
  ☆211Updated 11 months ago