DeepGraphLearning / GraphAny

Related projects: ⓘ

• CurryTang / Towards-graph-foundation-models
  ☆73Updated 10 months ago
• CurryTang / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆120Updated last week
• yuwvandy / Large-Graph-Generative-Model
  ☆22Updated 2 months ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆76Updated 9 months ago
• melifluos / subgraph-sketching
  code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486
  ☆87Updated 8 months ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆150Updated 9 months ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆170Updated last month
• AndyJZhao / GraphText
  ☆29Updated 9 months ago
• XiaoxinHe / neurips2023_learning_on_graphs
  List of papers on NeurIPS2023
  ☆87Updated 10 months ago
• snap-stanford / relbench
  RelBench: Relational Deep Learning Benchmark
  ☆183Updated 2 weeks ago
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆159Updated 3 months ago
• azminewasi / Awesome-Graph-Research-ICML2024
  All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
  ☆146Updated 3 months ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆72Updated last year
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆39Updated 2 months ago
• snap-stanford / prodigy
  ☆75Updated last year
• fpour / DGB
  Dynamic Graph Benchmark
  ☆67Updated last year
• GraphPKU / NeuralCommonNeighbor
  ☆39Updated last month
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆64Updated 11 months ago
• ellisalicante / GraphRewiring-Tutorial
  This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…
  ☆52Updated last year
• XiaoxinHe / iclr2024_learning_on_graphs
  List of papers on ICLR 2024
  ☆47Updated 6 months ago
• XiaoxinHe / icml2023_learning_on_graphs
  List of papers on ICML2023.
  ☆54Updated last year
• Graph-COM / GraphMaker
  code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"
  ☆47Updated last week
• KiddoZhu / NBFNet-PyG
  PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
  ☆56Updated 2 years ago
• DeepGraphLearning / InductiveQE
  Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)
  ☆48Updated last year
• GSL-Benchmark / GSLB
  A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)
  ☆101Updated 6 months ago
• yandex-research / heterophilous-graphs
  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?
  ☆88Updated last year
• kaize0409 / awesome-graph-data-augmentaion
  A curated list of publications and code about data augmentaion for graphs.
  ☆63Updated 2 years ago
• 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
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆45Updated last week
• DeepGraphLearning / AStarNet
  Official implementation of A* Networks
  ☆132Updated last year