This is our PyTorch implementation for the paper: Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He and Tat-Seng Chua (2021). Learning Intents behind Interactions ...

Abstract: Aiming at the issue that most of the existing knowledge graph-based methods for personalized learning resource recommendations do not take full advantage of collaborative signals from ...

Abstract: Fine-grained Zero-shot Learning on the large-scale dataset ImageNet21K is an important task that has promising perspectives in many real-world scenarios. One typical solution is to ...

Multi-modal Siamese Network for Entity Alignment KDD 2022 Github MultiJAF: Multi-modal joint entity alignment framework for multi-modal knowledge graph Neurocomputing 2022 Multi-modal Contrastive ...

Google shipped two new specs weeks apart. Here's what OKF and ARD actually do, how they differ from LLMs.txt and MCP, and ...

On the CMeEE dataset, GPT-4.0 achieved an F1-score of 65.42 using few-shot learning, surpassing traditional models such as BERT-CRF (62.11) and Med-BERT (60.66). Building upon this, we compiled a ...

AWS Context is a self-learning knowledge graph for enterprise data — it propagates agent-discovered relationships automatically, with no manual re-curation needed.

Spread the love“`html In a move that few anticipated, Google has unveiled a groundbreaking open standard for AI agents called the OKF AI standard. Launched in June 2026, this innovative framework has ...

To participate, submit your response here by July 10 at 9 a.m. Eastern. This week’s winners will be announced by July 22. By The Learning Network Heeva Alavi, an Iranian-American, writes about her ...