Stars
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
This is the repository for the generative information retrieval survey.
A library for efficient similarity search and clustering of dense vectors.
code and data for Improving Temporal Link Prediction via Temporal Walk Matrix Projection, NeurIPS 2024
Official Pytorch implementation of NeuralWalker
This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and …
[ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Writing AI Conference Papers: A Handbook for Beginners
Distance Encoding for GNN Design
The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"
[NeurIPS'24] Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed
Temporal Graph Rewiring Method with Expander Graphs
Python library assists deep learning on graphs
here you can find the material used for our Tutorials
[NeurIPS 2024] Implementation of "Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"
OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
CiteME is a benchmark designed to test the abilities of language models in finding papers that are cited in scientific texts.
NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights