Alternatives and similar repositories for I2GNN:

Users that are interested in I2GNN are comparing it to the libraries listed below

• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆50Updated last year
• Yujun-Yan / Heterophily_and_oversmoothing
  Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"
  ☆37Updated 2 years ago
• divelab / LGLP
  ☆20Updated 4 years ago
• muhanzhang / NestedGNN
  ☆57Updated 3 years ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆85Updated last year
• GraphPKU / NeuralCommonNeighbor
  ☆43Updated 8 months ago
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆66Updated 10 months ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆80Updated 5 months ago
• hedongxiao-tju / HOG-GCN
  ☆37Updated 3 years ago
• null-xyj / CoBFormer
  Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"
  ☆42Updated 11 months ago
• AndyJZhao / Gophormer
  ☆21Updated 2 years ago
• junhongmit / H2GB
  A graph benchmark library for heterophilic and heterogeneous graphs
  ☆13Updated 2 months ago
• IllinoisGraphBenchmark / IGB-Datasets
  Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…
  ☆82Updated 4 months ago
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆45Updated 8 months ago
• caio-freitas / GraphARM
  An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]
  ☆34Updated 3 months ago
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆122Updated last year
• GraphPKU / BREC
  ☆21Updated 10 months ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆54Updated last year
• HarryShomer / LPFormer
  Implementation of the KDD'24 paper "LPFormer: An Adaptive Graph Transformer for Link Prediction"
  ☆22Updated 3 months ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆53Updated last year
• jianhao2016 / AllSet
  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
  ☆95Updated last year
• RPaolino / fLode
  ☆18Updated last year
• GraphPKU / JacobiConv
  How Powerful are Spectral Graph Neural Networks
  ☆72Updated last year
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆122Updated 2 years ago
• ChengzhiPiao / GEDGNN
  The code repository of paper "Computing Graph Edit Distance via Neural Graph Matching" for PVLDB 2023.
  ☆20Updated last year
• snap-stanford / CAW
  ☆76Updated 2 years ago
• Leo-Q-316 / ImGAGN
  Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks
  ☆27Updated 3 years ago
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆43Updated 4 months ago
• LirongWu / FF-G2M
  Code for AAAI 2023 (Oral) paper "Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effe…
  ☆24Updated 9 months ago
• NSLab-CUK / Unified-Graph-Transformer
  Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…
  ☆27Updated last week