| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
CoRR
|
| 2026 | J | jnl |
CoRR
|
| 2026 | J | jnl |
Mach. Learn.
|
| 2026 | J | jnl |
CoRR
|
| 2026 | J | jnl |
CoRR
|
| 2026 | J | jnl |
CoRR
|
| 2026 | J | jnl |
CoRR
|
| 2026 | J | jnl |
CoRR
|
| 2026 | J | jnl |
CoRR
|
| 2026 | J | jnl |
CoRR
|
| 2025 | J | jnl |
IEEE Trans. Commun.
|
| 2025 | J | jnl |
IEEE Access
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Mach. Learn. Sci. Technol.
|
| 2025 | — | conf |
ICECET
|
| 2025 | J | jnl |
Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs.
IEEE Open J. Comput. Soc.
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | — | conf |
EANN (1)
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | — | conf |
EMNLP (Findings)
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Int. J. Data Sci. Anal.
|
| 2025 | J | jnl |
CoRR
|
| 2024 | B | conf |
DSAA
|
| 2024 | B | conf |
DSAA
|
| 2024 | J | jnl |
Mach. Learn. Sci. Technol.
|
| 2024 | J | jnl |
Mach. Learn. Sci. Technol.
|
| 2023 | B | conf |
IEEE Big Data
|
| 2022 | J | jnl |
SoftwareX
|
| 2022 | J | jnl |
BMC Bioinform.
|
| 2018 | B | conf |
DSAA
|
| 2017 | — | conf |
IEEE BigData
|
| 2017 | C | conf |
BDCAT
|
| 2017 | — | conf |
IEEE BigData
|
| 2017 | J | jnl |
Int. J. Data Sci. Anal.
|
| 2016 | B | conf |
DSAA
|
| 2015 | — | conf |
BigData Congress
|
| 2014 | B | conf |
DSAA
|
| 2014 | J | jnl |
Computer
|