Sheng Tian

3 papers · 2023–2023 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13)

Venues

AAAI (2) IJCAI (1)

Top co-authors

Changhua Meng (3) Liang Chen (2) Jintang Li (2) Baokun Wang (1) Wenlong Zhao (1) Qi Yu (1) Ruofan Wu (1) Zibin Zheng (1) Yifei Sun (1) Yang Yang (1)

Research topics

Machine Learning (3) Core Methods (3) Artificial Intelligence (2) Deep Learning (2) Application Areas (2) Core AI (2) Learning Types · Machine Learning (2) Computer Vision (1) Analysis (1) Architectures (1) Learning Types · Deep Learning (1)

Keywords

graph neural network (2) dynamic graph (2) contrastive learning (2) graph representation learning (1) efficient computing (1) spiking neural network (1) node classification (1) temporal graph (1) memory bank (1) dynamic graph representation (1) money laundering detection (1) supervised contrastive loss (1) temporal node classification (1) transaction network (1) anti-money laundering (1) subnetwork discovery (1) representation learning (1) pseudo-label contrastive learning (1) semi-supervised learning (1) anomaly detection (1)

Papers

SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs IJCAI 2023 Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks AAAI 2023 Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network AAAI 2023