Weilin Cong

6 papers · 2020–2025 · 3 conferences · across top CS/AI conferences

Achievements

🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (12) ❓ The Questioner

Conferences

ICLR (3) NIPS (2) AISTATS (1)

Top co-authors

Mehrdad Mahdavi (5) Morteza Ramezani (3) Mahmut Kandemir (2) Hao Wu (2) Si Zhang (2) Anand Sivasubramaniam (2) Baichuan Yuan (2) Bo Long (1) Hanghang Tong (1) Dongqi Fu (1)

Keywords

graph convolutional network (2) graph representation learning (1) machine unlearning (1) generalization capability (1) node feature (1) sampling method (1) gpu acceleration (1) feature propagation (1) graph neural network (1) stochastic gradient descent (1) model parameter projection (1)

Papers

Learning Graph Quantized Tokenizers ICLR 2025

Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection AISTATS 2023

Do We Really Need Complicated Model Architectures For Temporal Networks? ICLR 2023

Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks ICLR 2022

On Provable Benefits of Depth in Training Graph Convolutional Networks NIPS 2021

GCN meets GPU: Decoupling “When to Sample” from “How to Sample” NIPS 2020