surajnakka / graph-data-analysis
Worked with a number of real-world datasets available at http://snap.stanford.edu/ to identify the importance of certain nodes in terms of their degree, betweenness, closeness centralities and clustering co-efficient. • Studied the different random graph generator models to identify the best synthetic random graph generator that reflects real-wo…
☆11Updated 8 years ago
Alternatives and similar repositories for graph-data-analysis:
Users that are interested in graph-data-analysis are comparing it to the libraries listed below
- Graph Recurrent Networks with Attributed Random Walks☆28Updated last year
- Accelerated Attributed Network Embedding, SDM 2017☆50Updated 4 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", [1] in Pytorch☆37Updated 7 years ago
- Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"☆74Updated 4 years ago
- Anomaly detection algorithm for social networks using Graph Neural Networks by leveraging graph parameteres, between centrality, degree, …☆11Updated 5 years ago
- Label Informed Attributed Network Embedding, WSDM 2017☆37Updated 5 years ago
- Code for the paper "Unsupervised Community Detection with Modularity-based Attention Model"☆36Updated 4 years ago
- RDyn: graph benchmark handling community dynamics☆23Updated 11 months ago
- embedding attributed graphs☆57Updated 3 years ago
- Code for "M. Zhang, Z. Cui, S. Jiang, and Y. Chen, Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space, AAAI-2018".☆21Updated 6 years ago
- The resources for IPE model : Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs.☆18Updated 2 years ago
- DeepHawkes: Popularity Prediction of Information Cascades☆90Updated 7 years ago
- RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-imbalanced Labels for Network Embedding. AAAI18☆12Updated 4 years ago
- ☆9Updated 5 years ago
- ☆12Updated 6 years ago
- GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/930271…☆65Updated 3 years ago
- An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).☆60Updated 2 years ago
- Timerank: Tracking the Evolution of Communities in Dynamic Social Networks☆22Updated 7 years ago
- Learning Topological Representation for Networks via Hierarchical Sampling☆12Updated 3 years ago
- The source codes for D2AGE model. Distance-aware DAG Embedding for Proximity Search on Heterogeneous Graphs.☆12Updated 7 years ago
- The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots☆64Updated 7 years ago
- Code for Arxiv 2018 Paper "HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding"☆31Updated 5 years ago
- Code and data for paper AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks☆25Updated 6 years ago
- LEAP (Learning Edges by Aggregation of Paths)☆12Updated last year
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- Incremental vertex representation learning using random walks and skip-gram model.☆12Updated 6 years ago
- Open Resources For network embedding☆15Updated 5 years ago
- GND and GNDR network dismantling algorithm☆21Updated last year
- 通过研究社交网络，从网络中提取拓扑结构特征，运用机器学习方法进行链路预测，比较了几种机器学习算法的预测精度。☆32Updated 8 years ago
- Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"☆55Updated 4 years ago