Pinned Repositories
A-2Q
allen-website
AnyGraph
"AnyGraph: Graph Foundation Model in the Wild"
Awesome-Dataset-Distillation
Awesome Dataset Distillation Papers
BiFeat
Code for BiFeat: Supercharge GNN Training via Graph Feature Quantization
CaT-CGL
cde
code for training & evaluating Contextual Document Embedding models
contrastors
Train Models Contrastively in Pytorch
GCondenser
PUMA
superallen13's Repositories
superallen13/CaT-CGL
superallen13/GCondenser
superallen13/PUMA
superallen13/A-2Q
superallen13/AnyGraph
"AnyGraph: Graph Foundation Model in the Wild"
superallen13/Awesome-Dataset-Distillation
Awesome Dataset Distillation Papers
superallen13/cde
code for training & evaluating Contextual Document Embedding models
superallen13/contrastors
Train Models Contrastively in Pytorch
superallen13/DSLR
superallen13/GCond
[ICLR'22] [KDD'22] Implementation of "Graph Condensation for Graph Neural Networks"
superallen13/gnn-tail-generalization
superallen13/G2P2-conditional
superallen13/GFT
GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.
superallen13/GLBench
GLBench: A Comprehensive Benchmark for Graphs with Large Language Models
superallen13/GOFA
A generative one-for-all model for joint graph language modeling
superallen13/GraphGPT
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
superallen13/GSPT
superallen13/InfiniTransformer
Unofficial PyTorch/🤗Transformers(Gemma/Llama3) implementation of Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
superallen13/InstructGLM
Language is All a Graph Needs
superallen13/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
superallen13/NAGphormer
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
superallen13/OneForAll
A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
superallen13/OpenGraph
[EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"
superallen13/PDGNNs
superallen13/SFGC
Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"
superallen13/SGDD
Code for SGDD
superallen13/smol-course
A course on aligning smol models.
superallen13/SpikeGCL
[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)
superallen13/UniGraph
Early release of the official implementation for "UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs"
superallen13/ZeroG
The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs