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08/15/2023
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification
Recently, Zero-Shot Node Classification (ZNC) has been an emerging and c...
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07/10/2023
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
Large Language Models (LLMs) have revolutionized natural language proces...
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07/05/2023
Generative Job Recommendations with Large Language Model
The rapid development of online recruitment services has encouraged the ...
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06/14/2023
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation
Zero-Shot Learning (ZSL), which aims at automatically recognizing unseen...
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05/31/2023
A Survey on Large Language Models for Recommendation
Large Language Models (LLMs) have emerged as powerful tools in the field...
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03/01/2023
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation
Sequential Recommendation is a widely studied paradigm for learning user...
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12/11/2022
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense
Federated recommendation (FedRec) can train personalized recommenders wi...
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04/18/2022
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction
Network-aware cascade size prediction aims to predict the final reposted...
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05/27/2021
Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective
In the online innovation market, the fund-raising performance of the sta...
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01/16/2021
Learning the Implicit Semantic Representation on Graph-Structured Data
Existing representation learning methods in graph convolutional networks...
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12/14/2019
Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model
Well begun is half done. In the crowdfunding market, the early fundraisi...
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10/27/2019