Alternatives and similar repositories for Awesome-Graph-Research-ICML2024:

Users that are interested in Awesome-Graph-Research-ICML2024 are comparing it to the libraries listed below

• azminewasi / Awesome-Graph-Research-ICLR2024
  It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…
  ☆83Updated 2 months ago
• CurryTang / Towards-graph-foundation-models
  ☆82Updated last year
• XiaoxinHe / neurips2023_learning_on_graphs
  List of papers on NeurIPS2023
  ☆88Updated last year
• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆173Updated 2 months ago
• azminewasi / Awesome-Graph-Research-NeurIPS2024
  All graph/GNN papers accepted at NeurIPS 2024.
  ☆76Updated 2 months ago
• YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks
  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
  ☆182Updated 3 weeks ago
• ChengyiLIU-cs / Generative-Diffusion-Models-on-Graphs
  ☆187Updated last year
• mengliu1998 / awesome-expressive-gnn
  A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)
  ☆126Updated last year
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆155Updated last year
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆181Updated 8 months ago
• XiaoxinHe / icml2023_learning_on_graphs
  List of papers on ICML2023.
  ☆55Updated last year
• yuanqidu / awesome-graph-generation
  ☆313Updated 3 weeks ago
• XiaoxinHe / iclr2024_learning_on_graphs
  List of papers on ICLR 2024
  ☆56Updated 10 months ago
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆235Updated last month
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆84Updated last year
• DSL-Lab / Specformer
  Transformer-based Spectral Graph Neural Networks
  ☆79Updated 3 months ago
• jiaqingxie / Theories-of-Graph-Neural-Networks
  A List of Papers on Theoretical Foundations of Graph Neural Networks
  ☆29Updated last year
• LiamMa / GRIT
  This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
  ☆111Updated last month
• GSL-Benchmark / GSLB
  A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)
  ☆112Updated 11 months ago
• RomanBresson / KAGNN
  This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
  ☆38Updated last month
• DeepGraphLearning / GraphAny
  GraphAny: A foundation model for node classification on any graph.
  ☆119Updated 7 months ago
• cvignac / DiGress
  code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
  ☆388Updated 2 months ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆100Updated 3 years ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆199Updated 8 months ago
• tufts-ml / graph-generation-EDGE
  EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
  ☆54Updated 11 months ago
• XiaoxinHe / Graph-ViT-MLPMixer
  Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"
  ☆155Updated 9 months ago
• yandex-research / heterophilous-graphs
  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?
  ☆105Updated last year
• THUDM / GraphMAE2
  GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
  ☆146Updated last year
• SitaoLuan / LLM4Graph
  ☆167Updated 10 months ago
• zhao-tong / graph-data-augmentation-papers
  A curated list of graph data augmentation papers.
  ☆304Updated 9 months ago