BUPT-GAMMA / GammaGL

Related projects: ⓘ

• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆248Updated 2 months ago
• doujiang-zheng / Graph-Learning-Reading-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆153Updated 4 months ago
• SitaoLuan / LLM4Graph
  ☆144Updated 5 months ago
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆72Updated 8 months ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆163Updated 4 months ago
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆215Updated last month
• THUDM / HGB
  Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
  ☆299Updated last year
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆69Updated last month
• Starlien95 / GraphPrompt
  GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
  ☆136Updated 3 weeks ago
• ICT-GIMLab / SeHGNN
  ☆93Updated 11 months ago
• gzcsudo / Awesome-Hypergraph-Network
  A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
  ☆182Updated this week
• WxxShirley / Awesome-Graph-Prompt
  Awesome Papers About Performing Prompting On Graphs
  ☆313Updated last week
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆164Updated 11 months ago
• liun-online / HeCo
  The source code of HeCo
  ☆155Updated 2 years ago
• Oceanusity / awesome-gnns-on-large-scale-graphs
  ☆136Updated last year
• THUMNLab / awesome-large-graph-model
  Papers about large graph models.
  ☆246Updated 5 months ago
• ki-ljl / GNNs-for-Link-Prediction
  Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…
  ☆41Updated last year
• YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks
  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
  ☆161Updated 7 months ago
• XiaoxinHe / TAPE
  Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…
  ☆167Updated 3 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…
  ☆118Updated last year
• logseminar / Schedule
  Schedule for learning on graphs seminar
  ☆110Updated last year
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆149Updated last year
• yuziGuo / PolyFilterPlayground
  ☆14Updated last month
• yanliang3612 / awesome-imbalanced-learning-on-graphs
  A repository contains a collection of resources and papers on Imbalance Learning On Graphs
  ☆81Updated last week
• MingChen-Sun / GPPT
  ☆53Updated last year
• BUPT-GAMMA / OpenHGNN
  This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
  ☆840Updated last month
• JHL-HUST / LMSPS
  Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks
  ☆10Updated 6 months ago
• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆160Updated 4 months ago
• THUMNLab / awesome-auto-graph-learning
  A paper collection about automated graph learning
  ☆93Updated 3 months ago
• Nashchou / MultiGPrompt
  ☆14Updated 7 months ago