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)…
  ☆87Updated 4 months ago
• azminewasi / Awesome-Graph-Research-NeurIPS2024
  All graph/GNN papers accepted at NeurIPS 2024.
  ☆77Updated 4 months ago
• CurryTang / Towards-graph-foundation-models
  ☆88Updated last year
• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆195Updated 4 months ago
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆184Updated 10 months ago
• YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks
  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
  ☆192Updated 3 months ago
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆248Updated 4 months ago
• ChengyiLIU-cs / Generative-Diffusion-Models-on-Graphs
  ☆197Updated last year
• XiaoxinHe / iclr2024_learning_on_graphs
  List of papers on ICLR 2024
  ☆56Updated last year
• XiaoxinHe / neurips2023_learning_on_graphs
  List of papers on NeurIPS2023
  ☆89Updated last year
• mengliu1998 / awesome-expressive-gnn
  A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)
  ☆126Updated last year
• yandex-research / heterophilous-graphs
  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?
  ☆113Updated 2 years ago
• DeepGraphLearning / GraphAny
  GraphAny: Fully-inductive Node Classification on Arbitrary Graphs
  ☆128Updated 2 months ago
• yuanqidu / awesome-graph-generation
  ☆327Updated 3 months ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆158Updated last year
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆206Updated 10 months ago
• SitaoLuan / LLM4Graph
  ☆171Updated last year
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆166Updated last year
• XiaoxinHe / icml2023_learning_on_graphs
  List of papers on ICML2023.
  ☆55Updated last year
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆85Updated last year
• Lucius-lsr / AdapterGNN
  ☆29Updated last year
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆183Updated 3 weeks ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆216Updated 2 weeks ago
• sunxiaobei / awesome-attention-based-gnns
  A collection of resources on attention-based graph neural networks
  ☆66Updated last year
• GSL-Benchmark / GSLB
  A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)
  ☆113Updated last year
• DSL-Lab / Specformer
  Transformer-based Spectral Graph Neural Networks
  ☆79Updated 5 months ago
• THUMNLab / awesome-large-graph-model
  Papers about large graph models.
  ☆277Updated last year
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆54Updated last year
• zhao-tong / graph-data-augmentation-papers
  A curated list of graph data augmentation papers.
  ☆305Updated 11 months ago
• RomanBresson / KAGNN
  This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
  ☆41Updated 3 weeks ago