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:
- Temporal Graph Benchmark project repo☆236Updated this week
- ☆213Updated last year
- ☆360Updated last year
- ☆136Updated last year
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆238Updated 2 years ago
- Bag of Tricks for Graph Neural Networks.☆298Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆471Updated 2 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆144Updated 7 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
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆428Updated 4 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆260Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆202Updated 4 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆310Updated last year
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆299Updated 2 years ago
- A curated list of graph data augmentation papers.☆312Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆397Updated last year
- Parameterized Explainer for Graph Neural Network☆139Updated last year
- ☆330Updated last year
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆332Updated 2 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- Representation learning on dynamic graphs using self-attention networks☆299Updated 2 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- ☆96Updated 2 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆299Updated 2 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆165Updated 3 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆82Updated 2 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated last month
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆401Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆482Updated 6 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆292Updated 3 years ago