Kaike-Zhang / DyTedLinks
☆16Updated last year
Alternatives and similar repositories for DyTed
Users that are interested in DyTed are comparing it to the libraries listed below
Sorting:
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- ☆57Updated 3 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆48Updated 3 years ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37Updated last year
- ☆30Updated 2 years ago
- Tail-GNN: Tail-Node Graph Neural Networks☆35Updated 3 years ago
- ☆38Updated 3 years ago
- KDD'22☆64Updated 2 years ago
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 6 years ago
- ☆25Updated 2 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆62Updated last year
- source code for IJCAI 2019 paper "Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks"☆49Updated 4 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆85Updated 9 months ago
- The codes of IJCAI 2021 paper "Temporal Heterogeneous Information Network Embedding"☆15Updated 3 years ago
- LHGNN: Link Prediction on Latent Heterogeneous Graphs☆10Updated 2 years ago
- ☆18Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆62Updated last year
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated 2 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Updated last year
- The implementation for the NeurIPS 2022 paper Parameter-free Dynamic Graph Embedding for Link Prediction.☆16Updated 2 years ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆63Updated 2 years ago
- The source code of SpCo☆35Updated 2 years ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆54Updated 2 years ago
- Source code and dataset for WWW'22 paper "STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation"☆39Updated 2 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆23Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆94Updated 4 years ago
- ☆31Updated 3 years ago
- ☆23Updated last year