Alternatives and similar repositories for GNNLens2

Users that are interested in GNNLens2 are comparing it to the libraries listed below

• sangyx / gtrick
  Bag of Tricks for Graph Neural Networks.
  ☆295Updated 10 months ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆219Updated this week
• mims-harvard / SubGNN
  Subgraph Neural Networks (NeurIPS 2020)
  ☆198Updated 4 years ago
• GraphSAINT / GraphSAINT
  [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…
  ☆485Updated 2 years ago
• facebookresearch / SEAL_OGB
  An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.
  ☆234Updated last year
• mengliu1998 / awesome-deep-gnn
  Papers about developing deep Graph Neural Networks (GNNs)
  ☆302Updated 2 years ago
• cynricfu / MAGNN
  Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
  ☆418Updated 4 years ago
• snap-stanford / roland
  ☆134Updated last year
• DeepGraphLearning / NBFNet
  Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
  ☆213Updated last year
• amazon-science / tgl
  ☆208Updated last year
• THUDM / HGB
  Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
  ☆322Updated last year
• snap-stanford / neural-subgraph-learning-GNN
  ☆351Updated 11 months ago
• StatsDLMathsRecomSys / Inductive-representation-learning-on-temporal-graphs
  ☆322Updated 10 months ago
• zhao-tong / graph-data-augmentation-papers
  A curated list of graph data augmentation papers.
  ☆311Updated last year
• qitianwu / NodeFormer
  The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…
  ☆307Updated last year
• zhao-tong / GAug
  AAAI'21: Data Augmentation for Graph Neural Networks
  ☆193Updated last year
• diningphil / gnn-comparison
  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
  ☆395Updated 11 months ago
• THUDM / GRAND
  Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
  ☆210Updated last year
• claws-lab / jodie
  A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
  ☆390Updated 10 months ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆349Updated 2 years ago
• dglai / KDD20-Hands-on-Tutorial
  Scalable Graph Neural Networks with Deep Graph Library
  ☆151Updated 4 years ago
• flyingdoog / PGExplainer
  Parameterized Explainer for Graph Neural Network
  ☆132Updated last year
• Oceanusity / awesome-gnns-on-large-scale-graphs
  ☆138Updated last year
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆249Updated last year
• 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…
  ☆140Updated 3 months ago
• chrsmrrs / tudataset
  ☆94Updated 2 years ago
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆189Updated last year
• YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks
  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
  ☆194Updated 5 months ago
• rusty1s / pyg_autoscale
  Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
  ☆164Updated 2 years ago
• Starlien95 / GraphPrompt
  GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
  ☆155Updated 7 months ago