LoG2023 @ Montreal

About

When Monday, December 4th, 2023, 10am-2pm.

Where Mila, Agora (Floor 1), 6650 rue Saint-Urbain, Montréal, QC H2S 3G9

Contact log2023mtl@gmail.com

Zoom link: https://mcgill.zoom.us/my/log2023

Schedule

10:00 - 10:15, Xinyu Yuan, (NeurIPS 2023) A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs (paper, code).

10:15 - 10:30, Jianan Zhao, GraphText: Graph Reasoning in Text Space (paper, code).

10:30 - 10:45, Chenqing Hua, (LoG 2023) MUDiff: Unified Diffusion for Complete Molecule Generation (paper, code).

10:45 - 11:00, Guodong Jin, (LoG 2023) Kùzu: A Graph Database Management System for Graph Data Science (paper, code, website).

11:00 - 11:15, Dinghuai Zhang, (NeurIPS 2023) Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets (paper, code).

11:15 - 11:30, Liheng Ma, (ICML 2023) Graph Inductive Biases in Transformers without Message Passing (paper, code).

11:30 - 11:45, Hussein Abdallah, (2023 IEEE 39th International Conference on Data Engineering (ICDE)) Towards a GML-Enabled Knowledge Graph Platform (paper, code).

11:45 - 12:00, Shenyang Huang, (NeurIPS 2023 Datasets and Benchmarks Track) Temporal Graph Benchmark for Machine Learning on Temporal Graphs (paper, code).

12:00 - 12:15, Semih Cantürk, Graph Positional and Structural Encoder (paper, code).

12:15 - 12:30, Shenyang Huang, Graphium: Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets (paper, code).

12:30 - 12:45, Sitao Luan, (NeurIPS 2023) When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability (paper, code).

12:45 -14:00, poster session, networking and lunch

Recording