Alternatives and similar repositories for Gophormer

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

• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆44Updated 6 months ago
• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆51Updated last year
• Yujun-Yan / Heterophily_and_oversmoothing
  Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"
  ☆38Updated 2 years ago
• meettyj / NOSMOG
  Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".
  ☆31Updated 2 years ago
• zaixizhang / Graph_Transformer
  A pytorch implementation of graph transformer for node classification
  ☆31Updated 2 years ago
• LUMIA-Group / OrderedGNN
  The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).
  ☆45Updated last year
• Leirunlin / EvenNet
  Pytorch implementation of EvenNet.
  ☆20Updated 2 years ago
• tengxiao1 / GraphACL
  GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)
  ☆31Updated last year
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆83Updated 7 months ago
• AndyJZhao / WSDM23-GSR
  ☆18Updated 2 years ago
• GraphPKU / NeuralCommonNeighbor
  ☆47Updated 10 months ago
• YuanchenBei / Awesome-Graph-Transfer-Learning
  A curated list of papers on graph transfer learning (GTL).
  ☆17Updated last year
• liun-online / CoGSL
  Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression
  ☆24Updated last year
• Juanhui28 / HeaRT
  ☆54Updated 9 months ago
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆43Updated 2 years ago
• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
  ☆45Updated last year
• LechengKong / gdgnn
  ☆19Updated 2 years ago
• NineAbyss / ZeroG
  The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
  ☆31Updated 10 months ago
• zjunet / GPF
  The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
  ☆31Updated last year
• wondergo2017 / DIDA
  Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
  ☆21Updated 2 years ago
• ivam-he / BernNet
  PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
  ☆54Updated 2 years ago
• zyzisastudyreallyhardguy / GOAL-Graph-Complementary-Learning
  The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…
  ☆15Updated 2 years ago
• Graph-COM / PEG
  ☆41Updated 2 years ago
• zjs123 / DTGB
  Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs
  ☆34Updated 7 months ago
• muhanzhang / NestedGNN
  ☆57Updated 3 years ago
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆125Updated last year
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆54Updated last year
• zyzisastudyreallyhardguy / Graph-Group-Discrimination
  Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…
  ☆55Updated 2 years ago
• GraphPKU / JacobiConv
  How Powerful are Spectral Graph Neural Networks
  ☆72Updated last year
• ChenJY-Count / PolyGCL
  PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"
  ☆14Updated last year