MilaGraph's Projects
Tutorial "graph representation learning" given at AAAI'19
Official implementation of A* Networks
:test_tube: Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)
Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).
Course website for Deep Learning and Applications
Homepage
Implementation of DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing
Tutorial for Drug Discovery on AAAI 2021.
ESM-GearNet for Protein Structure Representation Learning (https://arxiv.org/abs/2303.06275)
Structure-Informed Protein Language Model
Pretrainable geometric graph neural network for antibody affinity maturation
GearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)
Graph Markov Neural Networks
Official implementation of Graph Neural Network Query Executor (ICML 2022)
Weekly reading group on Graphs at Mila
GraphAny: A foundation model for node classification on any graph.
Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
The literature on graph representation learning
GraphVite: A General and High-performance Graph Embedding System
Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)
LINE: Large-scale information network embedding
A comprehensive collection of recent papers on graph deep learning