Stars
The code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.
Implementation of GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation (ICLR2024 Spotlight).
LLaVA-HR: High-Resolution Large Language-Vision Assistant
[EMNLP 2023] Once Upon a *Time* in *Graph*: Relative-Time Pretraining for Complex Temporal Reasoning
(ACL 24 main) Large Language Models Can Learn Temporal Reasoning
Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"
Codes for ICML 2024 paper: "Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition"
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Large Language Model-enhanced Recommender System Papers
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
RAG AutoML Tool - Find optimal RAG pipeline for your own data.
[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Official implementation of pre-training via denoising for TorchMD-NET
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
Ongoing project: a library for graph foundation model
Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper
meta learning from the initializaion induced by word embedding
Implementations for "Trimming the ℓ₁ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning" Published on ICML 2019
This repository is the official PyTorch implementation of "Distilling Linguistic Context for Language Model Compression" by GeondoPark, Gyeongman Kim and Eunho Yang.
Adversarial Subword Regularization forRobust Neural Machine Translation