Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021
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Updated
Jun 18, 2021 - Python
Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021
Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
Official repository to release the code and datasets in the paper "Mining Dual Emotion for Fake News Detection", WWW 2021.
Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021
[WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
Code and data for the WWW 2021 research-track paper: Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out
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