Alternatives and similar repositories for CLDG

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

• marlin-codes / HTGN
  PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
  ☆48Updated last year
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆76Updated 2 months ago
• fpour / DGB
  Dynamic Graph Benchmark
  ☆82Updated 2 years ago
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆62Updated 2 years ago
• KimMeen / Neural-Temporal-Walks
  [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…
  ☆54Updated 2 years ago
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆48Updated 8 months ago
• yueliu1999 / KAN4Graph
  Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
  ☆61Updated 9 months ago
• MGitHubL / Data4TGC
  ☆17Updated 2 weeks ago
• Ffffffffire / HINormer
  ☆34Updated 2 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆84Updated 8 months ago
• CongWeilin / GraphMixer
  ☆101Updated last year
• AndyJZhao / WSDM23-GSR
  ☆18Updated 2 years ago
• YuanchenBei / Awesome-Graph-Structure-Learning
  A curated list of papers on graph structure learning (GSL).
  ☆49Updated 7 months ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆55Updated last year
• CurryTang / LLMGNN
  Label-free Node Classification on Graphs with Large Language Models (LLMS)
  ☆83Updated last year
• ICT-GIMLab / SeHGNN
  ☆115Updated 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
• alexfanjn / FAGCN_PyG
  Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…
  ☆23Updated 2 years ago
• yule-BUAA / DyGLib_TGB
  An Empirical Evaluation of Temporal Graph Benchmark
  ☆36Updated last year
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆253Updated last year
• ntkien1904 / DegFairGNN
  On Generalized Degree Fairness in Graph Neural Networks
  ☆9Updated 2 years ago
• snap-stanford / CAW
  ☆75Updated 2 years ago
• cshhzhao / GCOPE
  Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…
  ☆40Updated 9 months ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆145Updated 5 months ago
• snap-stanford / roland
  ☆136Updated last year
• RManLuo / GSNOP
  Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
  ☆34Updated 2 years ago
• zjs123 / DTGB
  Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs
  ☆37Updated 9 months ago
• doujiang-zheng / Dynamic-Temporal-Graph-Learning-Reading-List
  Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.
  ☆63Updated last year
• HKUDS / SelfGNN
  [SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"
  ☆61Updated last year
• Yiminghh / HiGCN
  ☆21Updated last year