Stars
This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis]
Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published in KDD'2024
The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Language Models
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A Unified Python Library for Graph Prompting
Project for the prediction of drug side-effect occurrences in the general population with Graph Neural Networks.
Scripts to reproduce the results of the paper "Practical guidelines for the use of Gradient Boosting for molecular property prediction".
This is the repository for dsaa6000I-final-project. The topic is LLM for Fake News Detection
Acceptance rates for the major AI conferences
Mutual Information Neural Estimation in Pytorch
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
Reimplementation of ICLR20 paper "Geom-GCN: Geometric Graph Convolutional Networks" based on PyTorch and PyTorch Geometric (PyG).
Implementations of 'Node Classification Beyond Homophily: Towards a General Solution', SIGKDD'23
Graph Neural Network Library for PyTorch
Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
Code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning" (ICLR 2024)
Repository for benchmarking graph neural networks
Official code and data repository of "Anomaly Detection with Score Distribution Discrimination", KDD' 23.
A Collection of Resources for Weakly-supervised Anomaly Detection (WSAD)
Papers on Graph neural network(GNN)