Alternatives and similar repositories for vn-analysis

Users that are interested in vn-analysis are comparing it to the libraries listed below

• Graph-COM / Neural_Higher-order_Pattern_Prediction
  ☆14Updated 3 years ago
• ChandlerBang / GTrans
  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
  ☆60Updated 2 years ago
• cchao0116 / SGMC-AAAI21
  Code for AAAI21 paper "Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning"
  ☆11Updated 3 years ago
• zyzisastudyreallyhardguy / UGCL
  The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"
  ☆21Updated 2 years ago
• huangJC0429 / Mid-GCN
  This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)
  ☆13Updated 2 years ago
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆54Updated 2 years ago
• jumxglhf / GraphPatcher
  Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
  ☆16Updated last year
• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
  ☆45Updated last year
• lsh0520 / RGCL
  Ratioanle-aware Graph Contrastive Learning codebase
  ☆44Updated 2 years ago
• wondergo2017 / DIDA
  Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
  ☆21Updated 2 years ago
• jw9730 / random-walk
  [ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch
  ☆14Updated 5 months ago
• hieubkvn123 / revisiting-gnn-curvature
  Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper
  ☆17Updated 2 years ago
• LFhase / GMT
  [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?
  ☆14Updated last year
• tengxiao1 / GraphACL
  GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)
  ☆31Updated last year
• huankoh / How-Far-are-We-from-Robust-Long-Abstractive-Summarization
  The official code of EMNLP 2022, "How Far are We from Robust Long Abstractive Summarization?".
  ☆18Updated last year
• Namkyeong / PCRL
  ☆7Updated 3 months ago
• KanghoonYoon / torch-metacon
  Pytorch Implmentation of Meta Attack via Contrastive Surrogate Objective
  ☆11Updated last year
• susheels / gnns-and-local-assortativity
  This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…
  ☆32Updated 3 years ago
• cchao0116 / CTSMA-ICML21
  Code for ICML21 paper "Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation"
  ☆11Updated 2 years ago
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆21Updated last year
• yf-he / UniGraph
  UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs (KDD'25)
  ☆14Updated 2 months ago
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆48Updated 3 years ago
• Amanda-Zheng / LEBED
  Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"
  ☆16Updated last year
• WtaoZhao / GraphGLOW
  PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
  ☆36Updated 2 years ago
• Graph-COM / LRI
  [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
  ☆24Updated 2 years ago
• zhongyu1998 / PG-GNN
  Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"
  ☆27Updated 3 years ago
• yifeiwang77 / DGC
  Official Code of Decoupled Graph Convolution (DGC)
  ☆16Updated 3 years ago
• YimiAChack / GSKN
  An implementation of GSKN-Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
  ☆15Updated 4 years ago
• subgraph23 / homomorphism-expressivity
  [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.
  ☆17Updated last year
• GemsLab / HeteRobust
  How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)
  ☆13Updated 3 years ago