Alternatives and similar repositories for NerualRRF:

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

• zza1998 / AMEngine
  vulkan graphic engine for learning
  ☆12Updated 3 weeks ago
• KeepMovingXX / VGGM
  ☆13Updated 9 months ago
• KeepMovingXX / DyGIS
  ☆11Updated 3 months ago
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆78Updated 2 months ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆113Updated 3 weeks ago
• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆115Updated last year
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆209Updated last year
• AI4Risk / awesome-graph-based-fraud-detection
  Awesome Graph-based Financial Fraud Detection Papers and Codes
  ☆19Updated 2 months ago
• Starlien95 / HGPrompt
  ☆13Updated last year
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆105Updated 6 months ago
• alexfanjn / GANI
  The relevant codes for "GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections".
  ☆12Updated 9 months ago
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆236Updated last month
• xkLi-Allen / Awesome-GNN-in-LLMs-Papers
  ☆10Updated last month
• doujiang-zheng / Graph-Learning-Reading-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆172Updated 3 months ago
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆62Updated 3 months ago
• xkLi-Allen / OpenFGL
  ☆20Updated last month
• Xtra-Computing / ConsisGAD
  ☆21Updated 10 months ago
• zhengwang100 / ogc_ggcm
  Code for OGC and GGCM
  ☆14Updated 4 months ago
• pygod-team / data
  Data repository for PyGOD
  ☆40Updated 11 months ago
• kayzliu / godm
  Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models
  ☆10Updated last year
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆86Updated 9 months ago
• kaize0409 / GCN_AnomalyDetection_pytorch
  PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
  ☆71Updated 3 years ago
• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆287Updated 3 weeks ago
• Marigoldwu / A-Unified-Framework-for-Deep-Attribute-Graph-Clustering
  This project is a scalable unified framework for deep graph clustering.
  ☆103Updated last month
• ki-ljl / GNNs-for-Link-Prediction
  Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…
  ☆54Updated last year
• SitaoLuan / LLM4Graph
  ☆166Updated 9 months ago
• BUPT-GAMMA / GammaGL
  A multi-backend graph learning library.
  ☆224Updated last week
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆199Updated 8 months ago
• tengxiao1 / Awesome-Graph-Contrastive-Learning-with-Heterophily
  Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
  ☆37Updated last year
• ICT-GIMLab / SeHGNN
  ☆103Updated last year