dmlc / GNNLens2Links
Visualization tool for Graph Neural Networks
☆254Updated 3 years ago
Alternatives and similar repositories for GNNLens2
Users that are interested in GNNLens2 are comparing it to the libraries listed below
Sorting:
- ☆213Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆472Updated 2 years ago
- Temporal Graph Benchmark project repo☆236Updated 2 weeks ago
- ☆362Updated last year
- ☆138Updated last year
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆238Updated 2 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆143Updated 8 months ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆497Updated 3 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆298Updated 2 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- Bag of Tricks for Graph Neural Networks.☆299Updated last year
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆429Updated 4 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆397Updated last year
- Subgraph Neural Networks (NeurIPS 2020)☆201Updated 4 years ago
- A curated list for awesome self-supervised learning for graphs.☆387Updated 3 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆311Updated last year
- A curated list of graph data augmentation papers.☆312Updated last year
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆335Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆484Updated 6 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆496Updated last year
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆266Updated 2 years ago
- ☆96Updated 2 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆137Updated 3 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆165Updated 3 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆293Updated 3 years ago
- Parameterized Explainer for Graph Neural Network☆139Updated last year
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆210Updated 2 years ago
- Representation learning on dynamic graphs using self-attention networks☆301Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆354Updated 4 months ago