Alternatives and similar repositories for UnGSL

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

• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆157Updated 11 months ago
• mala-lab / GGAD
  Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"
  ☆62Updated 5 months ago
• zjunet / GraphAdapter
  ☆26Updated last year
• Newiz430 / Bandana
  [WWW'24] Masked Graph Autoencoder with Non-discrete Bandwidths
  ☆13Updated last year
• xkLi-Allen / Awesome-GNN-in-LLMs-Papers
  ☆74Updated last year
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆232Updated 2 months ago
• YuxiaWu / SimpleDyG
  [WWW 2024] Code and data for "On the Feasibility of Simple Transformer for Dynamic Graph Modeling"
  ☆34Updated last year
• zylMozart / Disentangle_GraphHom
  [Neurips 2024] Disentangled Graph Homophily
  ☆28Updated last year
• zhongjian-zhang / LLM4RGNN
  A PyTorch implementation of "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?" (KDD 2025)
  ☆29Updated 3 months ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆142Updated last year
• W-rudder / TEA-GLM
  ☆60Updated last year
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆58Updated 2 years ago
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆113Updated last year
• Tianxzzz / FreeDyG
  Codes for ICLR 2024 paper "FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction"
  ☆36Updated last year
• JC-202 / CAGNN
  ☆18Updated 2 years ago
• Newiz430 / Pretext
  Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"
  ☆39Updated 9 months ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆88Updated last year
• Dodo-D-Caster / Tokenphormer
  ☆13Updated 4 months ago
• likuanppd / GOOD-AT
  The code of ICLR 2024 paper: Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective
  ☆14Updated last year
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆81Updated last year
• UB-GOLD / UB-GOLD
  ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark
  ☆62Updated 5 months ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆243Updated last year
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆270Updated last year
• RingBDStack / EAGLE
  Code for "Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization (EAGLE)"
  ☆24Updated 2 years ago
• ivam-he / PSHGCN
  PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."
  ☆19Updated last year
• UnHans / Awesome-Data-Centric-Graph-Learning-Papers
  n awesome&curated list of the advanced graph data-centric (i.e., graph sparsification, graph denoise, graph condensation) learning papers
  ☆17Updated 8 months ago
• OpenGSL / OpenGSL
  ☆182Updated last year
• QueuQ / CGLB
  ☆59Updated last year
• XYGaoG / Graph-Condensation-Papers
  Awesome Graph Condensation Papers, [TKDE 25] Graph Condensation: A Survey.
  ☆50Updated 7 months ago
• Starlien95 / HGPrompt
  ☆19Updated 2 years ago