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)
  ☆286Updated 2 years ago
• StatsDLMathsRecomSys / Inductive-representation-learning-on-temporal-graphs
  ☆340Updated last year
• fpour / DGB
  Dynamic Graph Benchmark
  ☆88Updated 2 years ago
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆86Updated 8 months ago
• snap-stanford / CAW
  ☆78Updated 3 years ago
• YesLab-Code / HTGNN
  ☆64Updated 4 years ago
• CongWeilin / GraphMixer
  ☆104Updated 2 years ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆95Updated 3 years ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆243Updated 3 months ago
• amazon-science / tgl
  ☆217Updated 2 years 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…
  ☆144Updated 11 months ago
• jhljx / CTGCN
  CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…
  ☆94Updated 4 months ago
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆267Updated last year
• jianhao2016 / GPRGNN
  ☆139Updated 2 years ago
• KuroginQin / OpenTLP
  [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…
  ☆59Updated last year
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆117Updated 9 months ago
• jianhao2016 / AllSet
  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
  ☆104Updated 2 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.
  ☆63Updated 2 years ago
• marlin-codes / HTGN
  PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
  ☆49Updated 2 years ago
• alge24 / DyGNN
  ☆65Updated 5 years ago
• aravindsankar28 / DySAT
  Representation learning on dynamic graphs using self-attention networks
  ☆306Updated 2 years ago
• yule-BUAA / DyGLib_TGB
  An Empirical Evaluation of Temporal Graph Benchmark
  ☆37Updated 2 years ago
• zhao-tong / GAug
  AAAI'21: Data Augmentation for Graph Neural Networks
  ☆195Updated last year
• seven-echo / Dynamic-graph-dataset
  Dynamic graph/network dataset for dynamic graph/network embedding/representation
  ☆36Updated 5 years ago
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆66Updated 2 years ago
• ICT-GIMLab / SeHGNN
  ☆125Updated 2 years 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
• zhao-tong / graph-data-augmentation-papers
  A curated list of graph data augmentation papers.
  ☆313Updated last year
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆73Updated 3 years ago
• maqy1995 / EvolveGCN-DGL
  Implement EvolveGCN by DGL.
  ☆30Updated 4 years ago