Alternatives and similar repositories for EAGLE

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

• RingBDStack / DGIB
  This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…
  ☆16Updated last year
• zjs123 / DTGB
  Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs
  ☆46Updated last year
• CurryTang / LLMGNN
  Label-free Node Classification on Graphs with Large Language Models (LLMS)
  ☆89Updated 2 years ago
• QueuQ / CGLB
  ☆59Updated last year
• NineAbyss / ZeroG
  The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
  ☆34Updated last year
• yixinliu233 / ARC
  [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning
  ☆28Updated last year
• cshhzhao / GCOPE
  Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…
  ☆44Updated last year
• W-rudder / TEA-GLM
  ☆56Updated last year
• XYGaoG / Graph-Condensation-Papers
  Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.
  ☆48Updated 5 months ago
• BUPT-GAMMA / GCIL
  Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective
  ☆29Updated last year
• fannie1208 / CaNet
  [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.
  ☆27Updated last year
• zjunet / GraphAdapter
  ☆26Updated last year
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆57Updated last year
• UB-GOLD / UB-GOLD
  ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark
  ☆62Updated 3 months ago
• qiaoyu-tan / S2GAE
  ☆50Updated 2 years ago
• yongduosui / AIA
  [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…
  ☆17Updated 2 years ago
• wangz3066 / CorDGT
  ☆16Updated last year
• superallen13 / CaT-CGL
  ☆16Updated last year
• RingBDStack / VIB-GSL
  Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022
  ☆37Updated 3 years ago
• zjunet / DropMessage
  The implementation for DropMessage.
  ☆38Updated 2 years ago
• kaize0409 / S-3-CL
  PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)
  ☆25Updated 10 months ago
• yixinliu233 / D2PT
  [KDD'23] Learning Strong Graph Neural Networks with Weak Information
  ☆43Updated 2 years ago
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆107Updated last year
• snap-research / linkless-link-prediction
  [ICML 2023] Linkless Link Prediction via Relational Distillation
  ☆24Updated 2 years ago
• young917 / EdgeDependentNodeLabel
  KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs
  ☆18Updated last year
• MGitHubL / Data4TGC
  ☆17Updated 4 months ago
• wondergo2017 / DIDA
  Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
  ☆25Updated 3 years ago
• yihongma / CILG-Papers
  A curated list of papers and code related to class-imbalanced learning on graphs (CILG).
  ☆43Updated 10 months ago
• MingChen-Sun / GPPT
  ☆61Updated 3 years ago
• tengxiao1 / Awesome-Graph-Contrastive-Learning-with-Heterophily
  Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
  ☆38Updated 2 years ago