Alternatives and similar repositories for roland

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

• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆241Updated 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).
  ☆69Updated 7 months ago
• fpour / DGB
  Dynamic Graph Benchmark
  ☆79Updated 2 years ago
• snap-stanford / CAW
  ☆76Updated 2 years ago
• amazon-science / tgl
  ☆207Updated last year
• StatsDLMathsRecomSys / Inductive-representation-learning-on-temporal-graphs
  ☆319Updated 9 months ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆90Updated 3 years ago
• YesLab-Code / HTGNN
  ☆55Updated 3 years 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.
  ☆60Updated last year
• KuroginQin / OpenTLP
  [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…
  ☆57Updated 6 months ago
• CongWeilin / GraphMixer
  ☆99Updated last year
• yule-BUAA / DyGLib_TGB
  An Empirical Evaluation of Temporal Graph Benchmark
  ☆33Updated last year
• ICT-GIMLab / SeHGNN
  ☆111Updated last year
• alge24 / DyGNN
  ☆60Updated 4 years ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆115Updated 10 months ago
• SherylHYX / pytorch_geometric_signed_directed
  PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…
  ☆139Updated 3 months ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆218Updated 2 weeks ago
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆254Updated 5 months ago
• fpour / TGB_Baselines
  TGB baselines for dynamic link property prediction
  ☆21Updated 4 months ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆80Updated 5 months ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆83Updated last year
• jianhao2016 / AllSet
  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
  ☆95Updated last year
• marlin-codes / HTGN
  PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
  ☆47Updated last year
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆122Updated 2 years ago
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆104Updated 3 years ago
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆125Updated last year
• jhljx / CTGCN
  CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…
  ☆96Updated last year
• YuanchenBei / Awesome-Graph-Structure-Learning
  A curated list of papers on graph structure learning (GSL).
  ☆50Updated 4 months ago
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆58Updated 2 years ago
• skx300 / DyHATR
  DyHATR (ECML-PKDD 2020)
  ☆44Updated 4 years ago