Workshop Schedule

The workshop will be held fully in person at the New Orleans Convention Center, as part of the NeurIPS 2023 conference, on Dec 15, 2023, in Hall C2. Check out the official NeurIPS workshop page for more information and live-stream for registerants here.

We aim to enlighten the attendees with state-of-the-art graph learning research, engage the attendees to ignite new ideas and discussions, and finally consolidate the ideas and findings into a synopsis that can benefit and guide the graph learning community as a whole. Specifically, the workshop will consist of the following sessions:

  • 8:15 AM - 8:45 AM: Poster Setup
  • 8:45 AM - 9:00 AM: Opening Remarks: Jiaxuan You
  • 9:00 AM - 9:30 AM: Keynote talk: Retrieval Augmentation for LLMs - Mohammad Shoeybi (NVIDIA)
  • 9:30 AM - 10:00 AM: Keynote talk: LLM Scaling: From Power Law to Sparsity - Yanqi Zhou (Google Deepmind)
  • 10:00 AM - 10:30 AM: Coffee Break
  • 10:30 AM - 11:30 AM: Contributed Talks from Submissions and Announcing the Best Paper Award
    • RL4CO: a Unified Reinforcement Learning for Combinatorial Optimization Library. Presenter: Federico Berto
    • VN-EGNN: Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification. Presenter: Florian Sestak
    • Maximally Expressive GNNs for Outerplanar Graphs. Presenter: Fabian Jogl
    • Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types. Presenter: Yangze Zhou/Jincheng Zhou
    • HoloNets: Spectral Convolutions do extend to Directed Graphs. Presenter: Christian Koke
    • ResolvNet: A Graph Convolutional Network with multi-scale Consistency. Presenter: Christian Koke
    • Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction. Presenter: Arjun Subramonian
    • Knowledge Graph Prompting for Multi-Document Question Answering. Presenter: Yu Wang
    • ChatPathway: Conversational Large Language Models for Biology Pathway Detection. Presenter: Yanjing Li/Shengchao Liu
    • Non-backtracking Graph Neural Networks. Presenter: Seonghyun Park
    • Motif-aware Attribute Masking for Molecular Graph Pre-training. Presenter: Gang Liu
  • 11:30 AM - 1:30 PM: Poster session 1
  • 12:00 PM - 1:00 PM: Lunch break
  • 1:30 PM - 2:00 PM: Keynote talk: Network Construction from Massive Text: Exploring the Power of Language Models - Jiawei Han (UIUC)
  • 2:00 PM - 2:30 PM: Keynote talk: Marinka Zitnik
  • 2:30 PM - 3:00 PM: Keynote talk: Towards Knowledge Foundation Models: Reasoning via Graph Schema Induction - Manling Li (Northwestern)
  • 3:00 PM - 3:30 PM: Coffee Break
  • 3:30 PM - 4:30 PM: Panel Discussion: Graphs in the Era of Foundation Models
  • 4:30 PM - 5:30 PM: Poster session 2

Should you have any questions, please reach out to us via email: