aplaceof / FlowScopeLinks
☆28Updated last year
Alternatives and similar repositories for FlowScope
Users that are interested in FlowScope are comparing it to the libraries listed below
Sorting:
- Representation-Learning-on-Heterogeneous-Graph☆441Updated 5 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆258Updated 4 years ago
- code of HetGNN☆408Updated 5 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆327Updated last year
- Datasets-for-Heterogeneous-Graph☆132Updated 5 years ago
- Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph☆445Updated last year
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆154Updated last year
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆323Updated 2 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆279Updated 2 years ago
- Code for Deep Anomaly Detection on Attributed Networks (SDM2019)☆131Updated 3 years ago
- Bag of Tricks for Graph Neural Networks.☆297Updated last year
- (WWW 2021) Source code of PC-GNN☆105Updated 3 years ago
- An implementation of paper: Dynamic Network Embedding: An Extended Approach for Skip-gram based Network Embedding☆17Updated 4 years ago
- ☆138Updated last year
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago
- data set for node classification task☆14Updated 5 years ago
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆328Updated 2 years ago
- Graph Neural Network☆267Updated 3 years ago
- A collection of data mining algorithms on big graphs and time series☆91Updated 2 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆424Updated 4 years ago
- A framework of aggregating huge-scale graph based on metis algorithm.☆18Updated 4 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆475Updated 6 years ago
- 读过的一些论文，给自己一个总结和交代吧☆18Updated last year
- A curated list of network embedding techniques.☆20Updated 5 years ago
- ☆58Updated 6 years ago
- Baselines for anchor link prediction (including MNA, PALE, IONE, FINAL, FRUI-P, CROSSMNA, REGAL, HYDRA, STUL)☆52Updated last year
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆490Updated 2 years ago