Graph Minimally-supervised Learning | 0 | 0.34 | 2022 |
Toward Graph Minimally-Supervised Learning | 0 | 0.34 | 2022 |
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. | 0 | 0.34 | 2022 |
Task-Adaptive Few-shot Node Classification | 0 | 0.34 | 2022 |
Graph Few-shot Class-incremental Learning | 0 | 0.34 | 2022 |
Few-Shot Learning on Graphs. | 0 | 0.34 | 2022 |
Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a Hypergraph | 0 | 0.34 | 2022 |
Cross-Domain Graph Anomaly Detection | 1 | 0.35 | 2022 |
Few-Shot Learning on Graphs | 0 | 0.34 | 2022 |
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation. | 0 | 0.34 | 2021 |
Fact-Enhanced Synthetic News Generation | 0 | 0.34 | 2021 |
Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning | 0 | 0.34 | 2021 |
Sequential Recommendation for Cold-start Users with Meta Transitional Learning | 3 | 0.40 | 2021 |
Few-shot Network Anomaly Detection via Cross-network Meta-learning | 3 | 0.41 | 2021 |
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter | 0 | 0.34 | 2021 |
Graph Prototypical Networks for Few-shot Learning on Attributed Networks | 9 | 0.65 | 2020 |
Challenges in Combating COVID-19 Infodemic -- Data, Tools, and Ethics | 0 | 0.34 | 2020 |
Inductive Anomaly Detection on Attributed Networks | 2 | 0.35 | 2020 |
Key Opinion Leaders in Recommendation Systems - Opinion Elicitation and Diffusion. | 2 | 0.36 | 2020 |
Combating Disinformation in a Social Media Age | 0 | 0.34 | 2020 |
Next-item Recommendation with Sequential Hypergraphs | 12 | 0.50 | 2020 |
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. | 0 | 0.34 | 2020 |
Graph Few-shot Learning with Attribute Matching | 2 | 0.41 | 2020 |
Interactive Anomaly Detection on Attributed Networks. | 8 | 0.44 | 2019 |
InterSpot - Interactive Spammer Detection in Social Media. | 0 | 0.34 | 2019 |
Deep Anomaly Detection on Attributed Networks. | 9 | 0.46 | 2019 |