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
Slides
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
GraphText: Graph Reasoning in Text Space
MUDiff: Unified Diffusion for Complete Molecule Generation (Keynote Version)
Kùzu: A Graph Database Management System for Graph Data Science
Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets (Keynote Version)
Graph Inductive Biases in Transformers without Message Passing
Towards a GML-Enabled Knowledge Graph Platform
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
Graph Positional and Structural Encoder (Keynote Version)
Graphium: Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
When Do Graph Neural Networks Help with Node Classification? (Full Version)
Organizers
McGill University, Mila
McGill University
McGill University
McGill University, Mila
McGill University
Valence Labs
Sponsor
Location
Agora is on the 1st floor of 6650 rue Saint-Urbain
Photos