fdudsde Goto Github PK

Name: Data Science and Digital Economy Lab

Type: Organization

Bio: 复旦大学数据科学与数字经济课题组

Data Science and Digital Economy Lab's Projects

Codes and data for WSDM 2021 paper "AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation"

Code for CIKM 20 paper "CommDGI: Community Detection Oriented Deep Graph Infomax"

Codes and data for CIKM 2021 paper "CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph"

WWW 2021, "Highly Liquid Temporal Interaction Graph Embeddings"

Code for ICMR2021 "HSGMP: Heterogeneous Scene Graph Message Passing for cross-modal retrieval"

Code and data for ICPC 2023 Technical Research track paper "Improving Code Search with Multi-Modal Momentum Contrastive Learning"

Code and data for ICSME 2022 research track paper "Cross-Modal Contrastive Learning for Code Search"

Codes for "iLoRE: Dynamic Graph Representation Learning with Instant Long-term Modeling and Re-occurrence Preservation"

Codes and data for KDD 2022 Research Track paper "CLARE: A Semi-supervised Community Detection Algorithm"

Codes and data for USENIX Security 24 paper "MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning"

Automatic Code Annotation Generation Based on Multi-view Heterogeneous Graph Structure

Codes for "RDGSL: Dynamic Graph Representation Learning with Structure Learning"

ReCo Dataset, the dataset files can be found at https://www.kaggle.com/datasets/fdudsde/reco-dataset.

Codes and data for KDD 2020 paper "SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks"

Codes and data for ICDM 2020 Best Student Paper Runner-up "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"

Codes and data for WWW 2023 Full Paper "ConsRec: Learning Consensus Behind Interactions for Group Recommendation"

Implementation of Representative Group Recommendation Models