DongqiFu / L-MEGALinks
Local Motif Clustering on Time-Evolving Graphs, KDD 2020
☆10Updated 10 months ago
Alternatives and similar repositories for L-MEGA
Users that are interested in L-MEGA are comparing it to the libraries listed below
Sorting:
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 6 years ago
- source code for IJCAI 2019 paper "Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks"☆49Updated 5 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆82Updated 4 years ago
- ☆79Updated 3 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 4 years ago
- Source code of "IJCAI20 - Network Schema Preserving Heterogeneous Information Network Embedding"☆25Updated 5 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆59Updated 4 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 2 weeks ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Updated 2 years ago
- Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD2020☆30Updated 4 years ago
- ☆101Updated 4 years ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆46Updated 4 years ago
- The source code of HeCo☆171Updated 3 years ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆66Updated 2 years ago
- code for "Self-supervised representation learning on dynamic graphs"☆27Updated 4 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated 2 years ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37Updated last year
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆54Updated 3 years ago
- KDD'22☆64Updated 3 years ago
- Source code of "NeurIPS21 - Universal Graph Convolutional Networks"☆20Updated 4 years ago
- Heterogeneous Information Network Datasets☆20Updated 6 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆123Updated 3 years ago
- ☆26Updated 5 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆36Updated 4 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆68Updated 2 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆47Updated 3 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61Updated 4 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆34Updated 3 years ago