Stars
A curated list of AWESOME papers, datasets and tutorials within Multimodal Knowledge Graph.
links to conference publications in graph-based deep learning
A PyTorch implementation of HIRE, as described in the paper: Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffery Xu Yu. [All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Pre…
Overview and tutorial of the LangChain Library
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Distributionally robust neural networks for group shifts
A curated list of awesome works related to high dimensional structure/vector search & database
LlamaIndex is a data framework for your LLM applications
PyTorch code to run synthetic experiments.
A huggingface transformers implementation of "Transformer Memory as a Differentiable Search Index"
"Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport" in ICDE 2023
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
The Official Repository for "Generalized OOD Detection: A Survey"
A beautiful, simple, clean, and responsive Jekyll theme for academics
Balsa is a learned SQL query optimizer. It tailor optimizes your SQL queries to find the best execution plans for your hardware and engine.
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
an efficient distributed PyTorch framework
CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.
WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
[AAAI 2023] The implementation for the paper "Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs"