Stars
(CIKM'23 resource track) Graph Domain Adaptation Benchmark for Cross-network Learning
Pytorch code release of CVPR 21 Paper: Learning Invariant Representations and Risks
Associated Repository for "Translation between Molecules and Natural Language"
The official code of "Eliminating Gradient Conflict in Reference-based Line-art Colorization" (ECCV2022)
Source code for EMNLP 2022 paper “PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models”
This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data
Source code for "A Deep-learning System Bridging Molecule Structure and Biomedical Text with Comprehension Comparable to Human Professionals"
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
Paper for "Unsupervised Deep Manifold Attributed Graph Embedding".
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Graph Convolutional Networks for Text Classification.