Alternatives and similar repositories for DIFFormer

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

• qitianwu / SGFormer
  The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"
  ☆261Updated last year
• LUOyk1999 / tunedGNN
  [NeurIPS 2024] Implementation of "Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"
  ☆154Updated 4 months ago
• XiaoxinHe / Graph-ViT-MLPMixer
  Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"
  ☆165Updated last year
• BorgwardtLab / SAT
  Official Pytorch code for Structure-Aware Transformer.
  ☆259Updated 2 years ago
• LiamMa / GRIT
  This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
  ☆128Updated 2 months ago
• null-xyj / CoBFormer
  Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"
  ☆46Updated last year
• NeXAIS / DDM
  Directional diffusion models
  ☆43Updated last year
• tufts-ml / graph-generation-EDGE
  EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
  ☆65Updated 4 months ago
• qitianwu / NodeFormer
  The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…
  ☆311Updated last year
• GraphMamba / GMN
  ☆121Updated last year
• LUOyk1999 / GNNPlus
  [ICML 2025] Implementation of "GNN+ (ModernGNN): Can Classic GNNs Be Strong Baselines for Graph-level Tasks?"
  ☆83Updated 2 months ago
• chr26195 / PMLP
  This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".
  ☆91Updated last year
• benfinkelshtein / CoGNN
  ☆59Updated 11 months ago
• DSL-Lab / Specformer
  Transformer-based Spectral Graph Neural Networks
  ☆85Updated last year
• YangLing0818 / VQGraph
  [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
  ☆103Updated last year
• RingBDStack / HypDiff
  This repository is the official implementation of "Hyperbolic Geometric Latent Diffusion Model for Graph Generation (HypDiff)" accepted b…
  ☆31Updated last year
• ChengyiLIU-cs / Generative-Diffusion-Models-on-Graphs
  ☆219Updated 2 years ago
• GRAPH-0 / GraphGDP
  Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation
  ☆30Updated 2 years ago
• lsj2408 / Graphormer-GD
  [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)
  ☆105Updated 2 years ago
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆49Updated last year
• qwerfdsaplking / Graph-Trans
  A graph transformer framework
  ☆77Updated 3 years ago
• ucbrise / graphtrans
  Representing Long-Range Context for Graph Neural Networks with Global Attention
  ☆129Updated 3 years ago
• yueliu1999 / Dink-Net
  [ICML 2023] An official source code for paper "Dink-Net: Neural Clustering on Large Graphs".
  ☆226Updated last year
• VITA-Group / Graph-Mixture-of-Experts
  [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…
  ☆54Updated last year
• shamim-hussain / egt_pytorch
  Edge-Augmented Graph Transformer
  ☆80Updated last year
• bowang-lab / Graph-Mamba
  Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces
  ☆315Updated last year
• LiuChuang0059 / Gradformer
  Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay
  ☆49Updated 10 months ago
• qitianwu / GraphOOD-GNNSafe
  The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
  ☆83Updated 2 years ago
• vijaydwivedi75 / gnn-lspe
  Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
  ☆264Updated 3 years ago
• EdisonLeeeee / MaskGAE
  [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
  ☆89Updated last year